Agentic AI Engineering Partner

Your Engineering Partner
for Agentic AI-Enabled Operations.

Trusted partnerships
Microsoft
Databricks
Bosch
Zeliot
Google Cloud
Optimizely
Why operations leaders choose Infarsight

We connect enterprise systems with agentic AI, automating operational decisions, eliminating manual coordination and protecting revenue across Travel, Mobility and Logistics.

Platform and Technology Partnerships

Microsoft
Solutions Partner
Databricks
Technology Partner
Bosch MPS
Mobility Partner
Zeliot
IoT Data Platform
Google Cloud
Cloud Partner
Optimizely
Digital Experience Partner
Amazon Web Services
Cloud Platform
MongoDB
Technology Partner
Measured across client engagements
70%
Faster turnaround time
3–5×
Higher handling capacity
100%
SLA compliance
90%
Operational error reduction
43%
Revenue leakage reduced
10×
Faster operational decisions
The Execution Gap

The Enterprise Execution Gap: Operational Issues Are Visible, Resolving Them Requires Multiple Systems and Teams.

Every enterprise has the data. The challenge is acting on it across multiple systems and teams. Delays between identifying an issue and resolving it affect operations, revenue, and customer experience. Three KPIs reveal the true cost of that gap.

Information Is Distributed

Operational context lives across booking systems, ERPs, CRMs, monitoring tools and dashboards. No single view. No single truth. No single moment of clarity.

Business Response Time
The time between identifying an operational issue and taking the first corrective action.

Cross-Team Coordination

Operations, data teams and systems often need to work together before an issue can be resolved. Every handoff is a delay. Every delay is a cost.

Revenue at Risk
Revenue exposed while operational issues remain unresolved.

Time Influences Outcomes

Operational delays affect service levels, customer experience and financial performance. The longer the gap, the higher the cost, and the harder it becomes to recover.

Cost of Delay
The financial impact between identifying a problem and resolving it.
Services

Six Engineering Practices.
One Connected AI Operations System.

We architect and deploy across the full operational intelligence stack, data engineering, agentic AI, intelligent automation, product engineering, platform operations and integration services, from data capture through to agentic decision-making and process automation. Each practice is embedded, accountable and outcome-driven.

01
Data Engineering

The data foundation for operational intelligence, connecting enterprise systems so operations teams have the context they need to make timely decisions.

  • Enterprise data capture across ERP, CRM, IoT and operational systems
  • Real-time data pipelines and streaming infrastructure
  • Data quality, master data and operational analytics
  • Condense — real-time data platform (Zeliot, Infarsight investment) for travel and mobility
  • Built with Microsoft, AWS, Google Cloud, Informatica and Databricks
Decision Pipeline — Live
Operational signals processed4.2M / hr
Decisions generated128 / min
Average decision latency1.8s
StatusHealthy
02
Agentic AI

AI agents that monitor operations, evaluate options and execute decisions in real time. They detect issues as they happen, reason across operational context and take action automatically, escalating when human judgement is required.

  • Multi-agent decision systems for operational workflows
  • Policy-aware decision models and constraint logic
  • Human-in-the-loop escalation and oversight
  • Full audit trails, governance and agent observability
Agentic decision loop
PERCEIVE
Flight AA247 — 2hr delay detected
REASON
147 pax · 3 connection options evaluated
ACT
Auto-rebooked in 2.1s
03
Intelligent Automation

Turning operational decisions into execution. We design automation systems that connect AI decisions to the workflows that run your business, eliminating manual steps, reducing delays and keeping operations moving without constant human intervention.

  • Process discovery, prioritisation and automation roadmap
  • RPA and workflow orchestration across enterprise systems
  • AI-driven document processing and classification
  • System integration eliminating manual re-keying and handoffs
Process savings
Manual hours eliminated / week
2,400hrs
Error reduction−94%
Bots running 24/738
ROI payback6 wks
04
Product Engineering

Building and modernizing the platforms that power enterprise operations, using AI to accelerate engineering, improve reliability and reduce delivery risk. Delivered across Microsoft Azure, AWS and modern cloud platforms.

  • AI-assisted architecture and system design
  • AI-accelerated development and code generation
  • AI-driven testing, debugging and code review
  • AI-powered monitoring and incident diagnostics
Platform reliability
Uptime SLA99.9%
Critical incident response< 15 min
Platforms operated30+
StatusAll operational
05
Platform Operations & Governance

AI-assisted operations that keep enterprise platforms reliable, secure and continuously running. We combine platform engineering with AI-driven monitoring, diagnostics and optimisation, ensuring the systems behind your operations stay resilient as data, decisions and automation scale.

  • Cloud infrastructure across Azure, AWS and GCP
  • AI-driven observability and anomaly detection
  • AI-assisted incident diagnostics and root-cause analysis
  • Security, compliance and DevSecOps integration
  • FinOps and AI-optimised performance management
Platform Health · 24/7
AI-assisted monitoring24/7
Platform uptime SLA99.9%
Incidents resolved142 / mo
Mean time to resolution< 2 hrs
Solutions

Built for your operations. Engineered from domain knowledge, services capability and delivery accelerators.

Control Towers

Real-time operational control environments for airlines, fleets and mobility networks, detecting disruptions, evaluating response options and coordinating actions across booking, dispatch and service systems.

AirlinesFleet OpsDispatchGround Operations

Digital Twins

Live digital replicas of ports, logistics hubs and complex infrastructure, enabling simulation, anomaly detection and predictive optimisation of large-scale operations.

PortsLogisticsTransportationOil & Gas

Decision Intelligence

Closed-loop decision engines for travel agencies, tour operators and business travel platforms, detecting operational signals, evaluating options and executing automated responses.

TMCDMCTour OperatorsTravel Agency

Task Orchestration

AI-driven task and case management systems that route, prioritise and automate operational workflows across teams, systems and service processes.

OperationsCase ManagementWorkflow AutomationPrioritisation

Document Intelligence

AI-powered extraction, classification and validation of operational documents, automating invoices, bookings, confirmations and operational paperwork.

InvoicesBookingsShipping Documents

Real-Time Asset Intelligence

Continuous intelligence across fleets, infrastructure and operational assets, combining IoT signals, telemetry and operational data to detect issues and predict disruptions before they impact operations.

EnergyFleetAssetsTelemetry
Industries

Deep expertise.
Not generic delivery.

Travel & Hospitality · 10+ years

Operational intelligence across every travel segment.

  • Travel Operations Intelligence
    Real-time operational visibility across airlines, ground operations, bookings and traveller journeys.
  • Disruption & IRROPS Automation
    AI agents that detect disruptions, evaluate options and execute recovery workflows automatically.
  • Multi-System Travel Orchestration
    Connect GDS, PMS, CRM, OTA platforms and supplier systems into one operational layer.
  • Decision Intelligence
    Turn operational signals into automated decisions across pricing, allocation and service recovery.
95% faster booking & service response 30% lower operational processing cost 100% SLA compliance across travel operations
Travel Ops · Live
Flight AA247 — 2hr delayResolved
147 pax rebooked2.4s
Hotel block — T4 overflowStaged
Booking response
95% faster
Agent resolution
2.4s
Mobility & Transportation

Intelligence for high-performance fleet operations.

  • Fleet Operations Intelligence
    Predictive dispatch and real-time fleet orchestration across large vehicle networks.
  • Vehicle Health & Predictive Maintenance
    AI models detect anomalies in vehicle telemetry to reduce breakdowns and unplanned downtime.
  • EV Network Intelligence
    Charging demand forecasting, charger health monitoring and network optimisation for EV fleets.
  • Last-Mile Delivery & Dispatch Optimisation
    AI route optimisation and automated dispatch decisions for delivery and transportation networks.
Up to 16% higher fleet utilisation Up to 34% reduction in fuel Up to 97% on-time dispatch reliability
FleetSight · Live fleet
Vehicles tracked live284
Fleet utilisation+16%
Fuel reduction34%
On-time dispatch97%
Dispatch precisionOptimal
Logistics & Ports

From berth to gate, fully orchestrated.

  • Port & Terminal Operations
    AI-assisted berth planning, vessel ETA prediction and automated gate throughput optimisation.
  • Container & Yard Intelligence
    Predict container dwell risks, optimise yard utilisation and reduce congestion across terminals.
  • Logistics & Shipment Visibility
    Real-time tracking of cargo and shipments across ports, warehouses and logistics corridors.
  • Operational Anomaly Detection
    AI agents detect congestion, equipment failures and SLA risks before they disrupt cargo movement.
Up to 30% reduction in demurrage costs Up to 25% faster cargo turnaround Up to 99% cargo SLA compliance
AI Berth Scheduler — Live
Signal
Vessel ETA updated — +38 min delay
AI re-optimising berth allocation
Action 1
Berth conflict predicted
Auto-reallocation to Berth 6
Action 2
Yard capacity constraint detected
Container staging sequence updated
Result
Berth plan re-optimised in 9 sec
Delivery Accelerators

Delivery Accelerators: Pre-Built Operational Intelligence.
From Months to Weeks.

Proven frameworks to build AI-driven operations faster.

Agentic AI for travel booking operations
TripSight

Your agentic AI for an exceptional customer experience. Automates offline corporate travel requests from Email, Slack, Teams and WhatsApp, cutting agent clicks from 172 to 1 and reducing request-to-book TAT from 23 minutes to 3.4 minutes.

95%
Faster booking & service response
Automate Post-Booking Operations
JourneySight

JourneySight helps DMCs and tour operators coordinate itineraries, suppliers, guides, vehicles and guest logistics across complex travel programmes.

6 hrs
Saved per teammate daily
Operational workflow automation
TaskSight

The operational engine that runs everything after the booking is confirmed, orchestrating every task, handoff and exception across travel ops, hospitality and airlines without manual intervention.

~6 wks
Average deployment time
Realtime Asset Intelligence
AssetSight

AssetSight provides continuous intelligence across fleets, vehicles and operational infrastructure using telemetry, anomaly detection and predictive signals.

34%
Reduction in fuel & downtime
Digital Twin / Control Towers
CommandSight

CommandSight creates a digital twin of enterprise operations, giving teams real-time visibility across systems, assets and operational workflows.

Real-time
Operational control
Decision Intelligence
DecisionSight

Framework for real-time operational decisioning, signal detection, decision models for disruptions and optimisation, scenario simulation and automated decision routing across systems.

Operational signal detection from real-time data, decision models for disruptions and optimisation, scenario simulation and automated decision routing across systems.

"

Partnering with Infarsight has been a game changer. Their automation capabilities have not only streamlined our processes but fueled innovation, allowing us to bring new solutions to market faster than ever.

Anderson Hernandez

SVP Contact Centers & Operations

Hyatt Hotels and Resorts
How we engage

We meet you where
your operations are.

1

Embedded Team

Infarsight engineers embed directly into your workflows, delivering systems at the intersection of engineering and operational delivery. Depth without the hiring cost.

2

Center of Excellence

A fully managed CoE combining industry expertise, engineering capacity and governance to run long-term transformation programs with measurable outcomes.

3

Outcome-Owned Delivery

Fixed-scope engagements with defined operational outcomes, timelines and accountability. When you need results, not a team on retainer.

Ready to run your operations with AI?

Start with an Operational Intelligence Assessment. We map your systems, identify decision bottlenecks, and design the AI architecture that automates operational execution.

01 Operational Intelligence Assessment
02 Decision Architecture Workshop
03 AI Pilot Deployment
Solutions

Agentic AI Operations Solutions
for Operationally Complex Enterprises.

Six pre-built AI operations solution categories, each addressing a distinct enterprise operational challenge. Every solution is engineered across Infarsight's five practices: Data Engineering, Agentic AI, Intelligent Automation, Product Engineering and Platform Operations.

What is a Digital Twin?

A digital twin is a continuously updated virtual replica of an operational environment, capturing every asset, constraint, workflow and relationship in real time. In enterprise operations, digital twins are used to simulate disruption scenarios, predict downstream impacts before they occur and coordinate decision-making across complex interdependent systems including ports, logistics networks, fleet operations and airline hubs.

Control Towers

Real-time operational command centers that unify every system signal, surface exceptions automatically and route actions across airlines, fleet and dispatch operations.

AirlinesFleet OpsDispatchGround Operations

Digital Twins

Live replicas of ports, logistics hubs and operational infrastructure, continuously updated from real data to support scenario simulation and coordinated decision-making.

PortsLogisticsTransportationOil & Gas

Decision Intelligence

Closed-loop AI decision engines for TMCs, DMCs, tour operators and travel agencies, from signal detection through to automated action without manual intervention.

TMCDMCTour OperatorsTravel Agency

Task Orchestration

AI-driven workflow routing and case management that eliminates manual coordination across operations teams, requests resolved automatically, not manually queued.

OperationsCase ManagementWorkflow AutomationPrioritisation

Document Intelligence

AI extraction, classification and routing of operational documents, invoices, bookings, shipping documents and contracts processed automatically without manual handling.

InvoicesBookingsShipping DocumentsContracts

Real-Time Asset Intelligence

Continuous monitoring across fleets, energy assets and operational infrastructure using telemetry, predictive signals and anomaly detection, before failures impact operations.

EnergyFleetAssetsTelemetry
Every solution is built across all five engineering practices
Data Engineering Agentic AI Intelligent Automation Product Engineering Platform Ops & Governance

Not sure which solution fits?

We start with an Operational Intelligence Assessment to identify the right solution for your context.

Solutions
Solution · Supply Chain and Logistics

Operational Control Towers
for Supply Chain and Logistics

A real-time operational command centre that unifies vessel movements, container flows, fleet positions, carrier schedules and gate throughput into a single intelligence layer, giving logistics operations a live operational picture and AI-driven response capability when disruptions occur.

Supply Chain Ports and TerminalsLogistics NetworksLast-Mile DeliveryFreight
Real-time
Signal aggregation across all logistics systems
<5 min
Disruption detection to response initiation
−30%
Demurrage and dwell time at port
−70%
Manual coordination overhead across operations
What is this

What is an Operational Control Tower for Logistics?

A logistics control tower is a real-time AI command environment that unifies all operational signals, vessel AIS feeds, container positions, fleet telemetry, carrier schedules, gate throughput and supplier ETAs, into a single live operational layer. It detects disruptions before they cascade, evaluates response options against available capacity and constraints, and executes or routes corrective actions automatically. It is not a dashboard, it is an active decision engine that monitors, evaluates and acts.

The problem

Supply Chain Disruptions Are Invisible Until They Are Expensive.

Vessel delays discovered at berth, not in advance

Vessel AIS data contains the early signal. By the time a late ETA reaches the operations team through manual channels, the berth reallocation window has passed, and the cascade into yard congestion, gate queues and demurrage has already started.

Container and freight status scattered across systems

TOS, WMS, TMS, carrier portals and customs systems each hold part of the picture. No coordinator has a single view. Status updates arrive via email, phone and manual checks, introducing hours of lag into decisions that need to happen in minutes.

SLA exposure is visible only in retrospect

Delivery performance, demurrage accumulation and carrier SLA breaches are reviewed in weekly reports, not monitored in real time as operations unfold. By the time the report runs, the cost is already committed.

Disruption response requires multi-system coordination

Responding to a supply chain disruption means coordinating changes across TMS, carrier portals, warehouse management, customs and customer notification systems simultaneously, a manual multi-step process that takes hours instead of minutes.

How we build it

Five Engineering Practices. One Logistics Intelligence Layer.

DATA ENGINEERING

Every logistics signal, unified in real time

Vessel AIS feeds, container IoT sensors, fleet telematics, TOS and WMS data, carrier APIs and customs systems are ingested via Kafka streaming pipelines and normalised into a single operational data layer using Databricks. The Condense/Zeliot platform handles IoT device connectivity at scale.

AGENTIC AI

Disruption detection and response routing

AI agents monitor vessel ETAs, container dwell times, fleet positions and carrier SLA exposure continuously, detecting anomalies before they escalate. When a disruption is detected, agents evaluate response options against berth capacity, yard layout, carrier alternatives and SLA priorities, and route the optimal response for execution or human confirmation.

INTEGRATION SERVICES

TOS, TMS, WMS and carrier connectivity

SCADA, OPC-UA, Modbus and terminal equipment protocols for port operations. REST and EDI for carrier and customs systems. MQTT for IoT device and fleet connectivity via AWS IoT Core or Azure IoT Hub. Infarsight's integration practice maintains all connections post-deployment.

PLATFORM OPERATIONS

24/7 availability for live operations

A control tower for a live port or logistics network cannot have planned downtime. Platform operations ensures 99.9% uptime SLA, real-time alerting on integration failures, security compliance and continuous monitoring of the data and AI layer.

Tools and platforms

Built on Enterprise-Grade Data and Streaming Infrastructure.

Databricks

The analytics and ML layer, processing logistics telemetry, training predictive ETA models and running the anomaly detection layer that feeds the control tower AI agents.

Zeliot / Condense

Real-time IoT data streaming from terminal equipment, vehicle telematics and port sensors, the data foundation the control tower runs on.

Azure IoT Hub / AWS IoT Core

Cloud-native IoT connectivity and device management for terminal equipment, fleet vehicles and infrastructure sensors at enterprise scale.

Delivery accelerators

CommandSight and AssetSight Accelerate Deployment by 60%.

Pre-built control tower UI, signal aggregation and asset telemetry layers, reducing time to a live logistics intelligence programme.

CommandSight

The control tower command layer

Pre-built operational intelligence UI combining a live signal feed, AI decision inbox and exception management layer. Deployed as the operator-facing command environment for logistics networks and port operations.

Explore CommandSight →
AssetSight

Real-time asset telemetry and health

Continuous monitoring of terminal equipment, fleet vehicles and logistics infrastructure, providing the asset intelligence layer that feeds the control tower with real-time health, location and performance signals.

Explore AssetSight →
Reference clients

Proven at Tier-1 Port and Logistics Operators.

Ports America Adani Ports and Logistics
Explore related capabilities

Ready to build your logistics intelligence layer?

We start with an operations audit, mapping your current data sources, integration gaps and the highest-cost disruption scenarios in your logistics network.

Solutions
Solution · Ports and Terminal Operations

Digital Twins
for Port and Terminal Operations

A continuously updated virtual replica of your port or terminal, every berth, every container position, every vessel ETA, every piece of equipment, enabling operations teams to simulate decisions, predict cascade disruptions and coordinate the physical operation through a single live model.

Ports and Terminals Container YardsBerth OperationsGate ManagementTerminal Equipment
−30%
Reduction in demurrage and dwell time
+25%
Cargo turnaround improvement
Real-time
Live replica of terminal state
Predictive
Disruptions detected before physical impact
What is this

What is a Digital Twin for Port Operations?

A port digital twin is a continuously updated virtual model of the physical terminal, ingesting vessel AIS data, container sensor feeds, equipment telemetry, gate camera data and TOS records to maintain a live, accurate representation of operations. Unlike a static dashboard that shows historical data, a digital twin reflects the terminal as it exists right now, and simulates how it will look in 2, 4 and 8 hours based on current trajectories. Operations teams use it to make berth allocation, yard staging and equipment deployment decisions before committing to them in the physical world.

The problem

Port Operations Run on Coordination Across Systems That Were Never Designed to Connect.

Berth planning based on incomplete vessel data

Berth planners work from spreadsheets and VHF radio updates. Vessel ETAs change hourly based on weather, port priority and cargo loading delays. Without a live model that updates as ETAs shift, berth plans are stale before the ink dries.

Container yard congestion building invisibly

Dwell time accumulates in specific yard blocks while others sit empty. Without a live yard model, restaging decisions are made on experience rather than data, creating congestion, double-handling costs and missed departure windows.

Equipment failures cascading into operational downtime

Crane breakdowns, straddle carrier failures and gate system outages are discovered when they occur, not before. Terminal equipment has telemetry signals that predict failures 24 to 72 hours in advance when monitored continuously.

Demurrage accumulating from avoidable coordination gaps

Demurrage builds when berth planning, yard staging and gate release are not coordinated in real time. A vessel arrives on schedule but the yard has not been cleared. The cost is avoidable, but only if the coordination happens before the ship arrives.

How we build it

Five Engineering Practices. One Live Terminal Model.

DATA ENGINEERING

Every terminal signal connected and synchronised

Vessel AIS feeds, container RFID and sensor data, terminal equipment telemetry (cranes, straddle carriers, RTGs), gate CCTV and OCR, TOS records and weather feeds, all ingested and synchronised in real time via Kafka streaming pipelines using Zeliot's Condense platform for device connectivity.

PRODUCT ENGINEERING

The twin model and simulation engine

The digital twin model itself, built using Azure Digital Twins or AWS IoT TwinMaker, maintains a live graph of berths, containers, vessels, equipment and relationships. The simulation layer evaluates proposed berth reallocations and yard restaging decisions against current terminal state before operations teams commit.

AGENTIC AI

Predictive disruption detection and response

AI agents monitor the digital twin continuously, detecting developing yard congestion, approaching demurrage thresholds, equipment health anomalies and gate throughput bottlenecks before they become operational incidents.

INTEGRATION SERVICES

TOS, VTS, SCADA and equipment protocol connectivity

Terminal Operating System (Navis N4, SPARCS), Vessel Traffic Service (VTS), SCADA protocols (Modbus, OPC-UA) and crane/RTG control systems, all connected through Infarsight's integration practice using the appropriate industrial protocol layer.

Tools and platforms

Built on Industrial-Grade Digital Twin Infrastructure.

Azure Digital Twins

Microsoft's enterprise digital twin platform, graph-based live models of port terminal assets, relationships and operational state with real-time update and simulation capability.

Zeliot / Condense

IoT device connectivity and real-time data streaming from terminal equipment, vessel tracking systems and port sensors, the live data layer that keeps the twin current.

Databricks and Kafka

Real-time event streaming via Kafka and predictive analytics via Databricks, processing the high-throughput telemetry that port operations generate and running the ML models that detect anomalies in terminal state.

Delivery accelerators

AssetSight and CommandSight Reduce Build Time by 50%.

Pre-built asset telemetry connectivity and control tower interface layers, reducing time to a production digital twin programme.

AssetSight

Equipment telemetry and health intelligence

Pre-built connectors for terminal equipment protocols, cranes, RTGs, straddle carriers and gate systems. Provides the continuous telemetry layer that feeds the digital twin with real-time equipment state and predictive health signals.

Explore AssetSight →
CommandSight

Operator interface and decision layer

The command-layer interface that sits above the digital twin model, presenting the live terminal state, surfacing AI recommendations and routing decisions to the right operations team member.

Explore CommandSight →
Reference clients

Proven at Tier-1 Port Terminal Operators.

Ports America — North America's largest marine terminal operator Adani Ports and Logistics — India's largest commercial port
Explore related capabilities

Ready to build a live model of your port operations?

We start with a data and systems assessment, mapping the terminal data sources, integration requirements and the specific operational decisions the digital twin will support.

Solutions
Solution · Travel Operations

Decision Intelligence
for Travel Operations

Closed-loop AI decision systems for the moments that cost travel businesses the most, flight disruptions, booking exceptions, supplier failures and guest escalations. Built for TMCs, airlines, DMCs, OTAs and hotels where the gap between event and action is measured in lost revenue.

Travel Operations TMCAirlinesDMCOTAHotels
10×
Faster decision on disruption events
<2 min
Event to resolved action
−80%
Manual decision coordination
100%
Decisions auditable with reasoning chain
What is this

What is Decision Intelligence for Travel Operations?

Decision intelligence for travel operations is the AI layer between your operational data and the actions your teams need to take, handling the routine, consistent decisions automatically and delivering fully-contextualised decisions for the complex ones. A flight change, a supplier non-confirmation, a guest escalation, a booking exception: each event triggers a decision process that today involves multiple systems, multiple people and avoidable delay. Decision intelligence closes that loop, in seconds, at scale, with an audit trail.

The problem

Every Minute Between an Operational Event and a Decision Has a Cost in Travel.

IRROPS handled reactively, not proactively

When a flight is cancelled or delayed, rebooking decisions happen after the disruption is confirmed, not while the operational window to act is still open. Passengers are already affected before the team has a full picture of options.

Coordinators deciding with partial context

Booking exceptions and supplier failures require context from GDS, PMS, CRM and supplier systems simultaneously. Teams have one system open and three more unchecked. The right decision requires complete context, which rarely arrives in time.

Inconsistency across shifts and departments

A yield exception handled at 9am is handled differently at 9pm. Quality depends on individual experience, not encoded business rules that apply consistently across the whole operation.

Revenue leakage from decision delay in yield management

Hotel rate decisions, tour operator pricing adjustments and airline ancillary yield decisions that wait for a human review cycle miss the pricing window. Automated decision intelligence executes yield logic in real time against live demand signals.

How we build it

Five Engineering Practices. One Decision Layer.

Decision intelligence is not a single product, it is built from the intersection of data engineering, agentic AI, intelligent automation, integration and platform operations.

DATA ENGINEERING

Operational context assembled in real time

GDS feeds (Amadeus, Sabre), PMS systems (Opera, Mews), CRM, supplier APIs and live flight data connected into a unified data layer. Every decision agent draws from the same real-time context.

AGENTIC AI

Decision agents that close the loop

AI agents monitor operational signals continuously, detecting IRROPS, booking exceptions, supplier failures, yield anomalies and duty of care triggers. Each agent evaluates, selects a resolution and either executes or escalates with full context.

INTELLIGENT AUTOMATION

Execution on Power Automate and Appian

Once a decision is made, execution happens through Power Automate for Microsoft-stack workflows and Appian for complex case management requiring approval chains and audit trails. Rebooking confirmations, supplier notifications and guest communications are fully automated.

INTEGRATION SERVICES

GDS, PSS, PMS and supplier connectivity

Live connections to Amadeus, Sabre, Travelport, Navitaire, Opera, Mews and direct supplier APIs, ensuring decision agents always have the full picture.

Tools and platforms

Built on the Platforms Your Travel Operations Already Run On.

Power Automate

Microsoft workflow automation for executing decisions across Microsoft 365, Dynamics and connected travel systems.

Appian

Low-code case management for complex travel decision workflows requiring multi-party approval, compliance tracking and full audit trails.

Azure AI Foundry

GPT-4o and Phi models for IRROPS triage, yield decision support and NLP for unstructured supplier communications.

Delivery accelerators

TripSight and TaskSight Cut Deployment Time by 60%.

Pre-built travel decision logic, GDS connectors and workflow templates.

TripSight

Booking and disruption decision logic

Pre-built decision agents for IRROPS triage, policy compliance checking and booking exception resolution. Request-to-decision: 23 minutes to 3.4 minutes.

Explore TripSight →
TaskSight

Post-decision execution and escalation routing

Supplier notifications, team assignments, status tracking and escalation management across the full post-booking operations layer.

Explore TaskSight →
Explore related capabilities

Ready to close the decision gap in your travel operations?

We start with a decision audit, mapping the highest-cost decision delays across your travel operations and designing the intelligence layer to close them.

Solutions
Solution · Operations and Workflow

Task Orchestration
Across Every Operational Domain

AI-driven workflow routing and case management deployed across Travel, Mobility, Logistics and Enterprise Operations, every incoming task detected, classified, routed and resolved automatically, with escalation only where genuine human judgement is required. Built on Power Automate, Appian and the platforms your operations already run on.

Cross-Industry Travel OperationsLogisticsFleet and MobilityPort OperationsEnterprise Workflows
6 hrs
Saved per operations teammate per day
~6 wks
Average programme deployment time
−85%
Manual routing and coordination overhead
100%
Task visibility across teams and systems
What is this

What is Task Orchestration?

Task orchestration is the automated routing, prioritisation and execution of operational workflows across systems, teams and service processes. Instead of coordinators manually triaging and assigning work, AI agents detect incoming tasks from any channel, email, booking system events, IoT alerts, customer portals, internal tickets, classify them by urgency and operational context, route them to the appropriate team or automated workflow, and track resolution against SLA targets. It is the layer that removes coordination overhead from operations, freeing teams to handle the decisions that genuinely need human involvement.

Where it applies

One Capability. Deployed Across Every Operational Vertical.

Task orchestration is not industry-specific, it applies wherever high-volume workflows are currently coordinated manually. Here is what it looks like in practice across the industries Infarsight serves.

Travel Operations

Post-booking exception management

Supplier non-confirmations, schedule change notifications, IRROPS rebooking queues, modification requests and refund processing, all routed automatically by priority, policy and SLA. TMC agents handle the exceptions that require negotiation, not the ones that have a deterministic resolution.

Used by: TMCs · OTAs · DMCs · Airlines
Fleet and Mobility

Maintenance work order routing

Vehicle fault alerts from telematics are classified by severity, matched to available technicians and maintenance slots, and routed for scheduling, with SLA-based prioritisation for vehicles on active routes. Unplanned breakdowns generate emergency work orders and fleet reassignment tasks simultaneously.

Used by: Fleet operators · EV network operators · Transport companies
Ports and Logistics

Cargo release and customs workflow

Document verification tasks, customs declaration queues, cargo release approvals and inspection scheduling, orchestrated automatically across terminal operators, customs agents and freight forwarders. Exceptions flagged for human review arrive with complete document context and compliance status.

Used by: Port terminals · Logistics providers · Freight forwarders
Hospitality

Housekeeping, service and guest request routing

Room readiness tasks, guest service requests, maintenance work orders and check-in coordination across multi-property hotel operations, all assigned, tracked and escalated automatically. Operations managers see completion status in real time rather than discovering delays at incident.

Used by: Hotels and resorts · Hospitality groups
How we build it

Five Engineering Practices. One Orchestration Layer.

DATA ENGINEERING

Every task channel connected and normalised

Email inboxes, booking system events, IoT device alerts, CRM queues, customer portals and internal ticketing systems, all connected into a unified task intake layer where every signal is captured, contextualised and enriched before routing begins.

AGENTIC AI

Classification, priority scoring and routing logic

AI agents classify each incoming task by type, urgency and operational context, applying configurable business rules to determine the routing path, SLA target and response type. Novel task types that fall outside existing rules are flagged for human classification and used to train routing logic over time.

INTELLIGENT AUTOMATION

Execution on Power Automate, Appian and ServiceNow

Task execution is delivered on the workflow platform the client already operates: Power Automate for Microsoft-stack organisations, Appian for complex multi-party case management and compliance workflows, ServiceNow for IT and enterprise service management environments. Infarsight does not require platform replacement, it builds the orchestration intelligence layer on top of what you already run.

INTEGRATION SERVICES

Every upstream source connected to the orchestration layer

GDS, PMS, CRM, ERP, TMS, WMS, booking engines, supplier APIs and IoT platforms, all connected as task sources. Every system that generates work also gets the status feedback that keeps downstream operations informed.

Tools and platforms

Built on the Workflow Platforms Your Teams Already Know.

Infarsight builds task orchestration on the platform that fits your existing estate, not a new tool that requires adoption.

Power Automate

Microsoft-native workflow automation — ideal for organisations already on Microsoft 365 and Dynamics. Infarsight builds complex multi-step orchestration flows on Power Automate with AI-driven routing and classification layers on top.

Appian

Low-code case management platform for complex operational workflows requiring structured approval chains, regulatory compliance tracking, multi-party coordination and full audit trail. Deployed for customs workflows, compliance processes and multi-stakeholder travel exceptions.

ServiceNow

Enterprise service management and ITSM workflow orchestration for organisations using ServiceNow as their operational backbone. Infarsight extends ServiceNow with AI classification and cross-system routing layers that connect it to operational data sources beyond the IT domain.

Delivery accelerator

TaskSight: Pre-Built Orchestration for Travel Operations.

The travel-specific orchestration accelerator, pre-built workflows, supplier connectors and task routing logic for TMCs, OTAs and hotel groups.

TaskSight

The post-booking operations engine for travel

Pre-built orchestration for the full post-booking workflow layer: supplier confirmation chasing, schedule change detection, IRROPS exception routing, refund processing, duty of care monitoring and customer communication management. Reduces post-booking manual handling by 80% and saves 6 hours per operations team member per day.

Explore TaskSight →
Pre-built for
TMCs OTAs Hotels and Resorts DMCs and Tour Operators Airlines
Explore related capabilities

Frequently Asked Questions: Task Orchestration

Does task orchestration replace our existing workflow tools like ServiceNow or Power Automate?

No. Infarsight builds the AI orchestration intelligence layer on top of the workflow platform you already operate. Power Automate, Appian and ServiceNow remain the execution engines, Infarsight adds the AI classification, routing logic and cross-system task detection layer that those platforms lack natively. Platform replacement is never required.

How is task orchestration different from a basic ticketing system?

A ticketing system records and tracks tasks, humans still triage, assign and chase resolution. AI task orchestration detects tasks from any inbound channel automatically, classifies them without human triage, routes them to the right team or automated workflow and monitors resolution against SLA targets, escalating only when thresholds are breached. The coordination overhead that ticketing systems still require is eliminated.

How quickly can a task orchestration programme be deployed?

A focused programme covering one operational domain, post-booking exception management for a TMC or maintenance work order routing for a fleet operator, typically deploys in 4 to 6 weeks using TaskSight's pre-built connectors and routing logic. Broader multi-domain programmes typically run 8 to 12 weeks from data assessment to production. The primary variable is integration complexity, not orchestration logic build time.

Ready to remove the coordination overhead from your operations?

We start with an operational workflow assessment, mapping the highest-volume manual coordination tasks and the platforms your operations already run on.

Solutions
Solution · Enterprise Operations

Document Intelligence

AI extraction, classification and routing of operational documents, invoices, booking confirmations, shipping documents, contracts and compliance records processed automatically, without manual handling, at enterprise scale.

Invoices BookingsShipping DocumentsContracts
−85%
Manual document processing time
Near-zero
Silent extraction errors with confidence routing
Any format
PDF, email, scan, structured or unstructured
100%
Document audit trail and compliance traceability
The problem

Documents are the last manual bottleneck in operational workflows.

What is Document Intelligence?

Document intelligence is the AI-powered extraction, classification and validation of data from operational documents, invoices, booking confirmations, shipping documents, supplier vouchers and compliance records. It combines OCR, NLP and validation logic to automate document processing workflows that currently require manual review, reducing processing time from hours to seconds and eliminating the silent errors that manual data entry creates.

In travel, logistics and enterprise operations, documents, invoices, booking forms, shipping manifests, supplier contracts, arrive in inconsistent formats, require manual data extraction, and sit in queues waiting for a human to read and process them. Every document that waits is a decision delayed.

DATA ENGINEERING

Document ingestion and normalisation

Documents arrive from every channel, email attachments, supplier portals, scanned fax, EDI feeds, customer uploads and API pushes. Data Engineering connects every source into a unified ingestion layer, ensuring every document is captured, timestamped and queued for processing regardless of format.

Email integrationEDI and API connectorsOCR pre-processing pipelineAzure Blob Storage
Document types ingested
  • Supplier invoices in PDF, EDI, CSV and unstructured email formats
  • Booking confirmations, itineraries and service vouchers from multiple sources
  • Shipping manifests, customs declarations and port clearance documents
  • Contracts, SLA documents and compliance certificates
Operational result
  • No document lost in an email inbox or shared folder
  • Every document tracked from arrival to resolution
  • Ingestion pipeline scales with volume, no staffing bottleneck
AGENTIC AI

Intelligent extraction, classification and validation

AI extracts structured data from unstructured documents, regardless of format, layout or template. It classifies the document type, validates extracted fields against business rules, identifies discrepancies and routes exceptions to the right human with a confidence score and recommended resolution.

Azure AI Document IntelligenceOpenAI GPT-4oAzure Cognitive ServicesConfidence-based escalation
What AI extracts and validates
  • Invoice fields, vendor, amount, line items, tax, payment terms, validated against PO
  • Booking data, passenger details, service codes, dates, supplier references extracted from any format
  • Shipping data, consignee, cargo, routing, HS codes and customs declarations
  • Contract terms, SLA clauses, obligations, renewal dates and value extracted and indexed
Operational result
  • Extraction accuracy higher than manual processing at scale
  • Discrepancies flagged before payment or processing, not after
  • AI confidence score routes exceptions to humans, not all documents
INTELLIGENT AUTOMATION

Downstream action execution

Once data is extracted and validated, Intelligent Automation executes the downstream actions, posting to ERP, triggering payment workflows, updating booking systems, filing in compliance repositories and notifying relevant stakeholders. No manual data entry. No re-keying across systems.

ERP integration (SAP, Oracle)Payment workflow automationCompliance document filing
What gets automated
  • Invoice posting to ERP with three-way match validation against PO and receipt
  • Booking data propagation across CRM, operations and finance systems
  • Customs documentation submitted automatically on receipt of validated data
  • Contract terms indexed and expiry alerts triggered without manual calendar management
Operational result
  • Document-to-payment cycle reduced from days to hours
  • Re-keying errors eliminated across all downstream systems
  • Compliance filings never missed, automated and traceable
PRODUCT ENGINEERING

Document operations platform

A purpose-built document operations interface showing every document in flight, its status, extracted data, validation result and action taken. Exception queue for documents requiring human review, with AI-recommended resolution and one-click approval.

Document review UIException queue with AI contextFull audit trail interface
Platform capabilities
  • Live processing queue — every document tracked from ingestion to resolution
  • Extraction viewer, side-by-side original document and extracted data fields
  • Exception queue, documents requiring human review with AI confidence score and context
  • Audit dashboard, every extraction, validation and action traceable for compliance
Operational result
  • Finance and operations teams review only the exceptions that need them
  • Full audit trail for every document, queryable for compliance or dispute resolution
  • Processing volume scales without adding headcount

Ready to automate your document operations?

We start with a document audit, mapping your highest-volume document types, extraction requirements and downstream system connections.

Solutions
Solution · Mobility & Infrastructure

Real-Time Asset Intelligence

Continuous intelligence across fleets, vehicles, energy assets and operational infrastructure, using telemetry, IoT data, anomaly detection and predictive signals to detect failures, inefficiencies and risks before they impact operations.

What is Real-Time Asset Intelligence?

Real-time asset intelligence uses continuous telemetry, IoT sensor data and AI anomaly detection to monitor the health, location and performance of operational assets, vehicles, equipment, chargers, industrial machinery, and predict failures before they occur. It moves fleet and infrastructure management from reactive maintenance to predictive operations, reducing unplanned downtime and extending asset life.

Energy FleetIndustrial AssetsTelemetry
−34%
Reduction in fuel usage and unplanned downtime
Predictive
Failures detected before they occur
Real-time
Asset health across every connected device
97%
On-time dispatch reliability post-deployment
The problem

Assets fail reactively. Intelligence should be predictive.

Organisations managing large fleets, energy infrastructure or industrial assets typically discover problems after they happen, through a breakdown, a missed SLA or a maintenance backlog. The cost of reactive operations is a multiple of the cost of predictive operations.

DATA ENGINEERING

Telemetry ingestion at scale

Real-Time Asset Intelligence begins with connecting every asset to a live data layer. Infarsight Data Engineering builds the IoT ingestion pipeline that captures vehicle telemetry, equipment sensor data, energy meters and environmental feeds, processed at scale with sub-second latency.

IoT sensor integrationVehicle telemetry (OBD / CAN bus)Azure IoT HubKafka event streaming
Data sources connected
  • Vehicle telemetry — engine health, fuel, location, speed, driver behaviour
  • Equipment sensors, vibration, temperature, pressure, cycle counts
  • Energy meters, consumption, load, fault codes, charging state
  • Environmental feeds, route conditions, weather, traffic impacting asset performance
Operational result
  • Every asset emitting a live signal, no dark fleet or unmonitored equipment
  • Data normalised across different asset types and OEM data formats
  • Historical telemetry stored for pattern analysis and model training
AGENTIC AI

Anomaly detection, prediction and alerting

AI models continuously analyse telemetry streams for anomalies, degradation patterns and failure precursors. When a pattern indicates an emerging failure, vibration drift, temperature spike, oil pressure drop, the agent predicts the remaining useful life, calculates operational impact and triggers the appropriate response before the asset fails.

Predictive maintenance modelsAnomaly detectionRemaining useful life predictionOperational impact scoring
What AI detects and predicts
  • Mechanical degradation, vibration, temperature and pressure deviations before failure
  • Fuel and energy inefficiency patterns indicating route, load or asset issues
  • Battery health deterioration in EV fleets, charge cycle degradation and range impact
  • Driver behaviour patterns correlating with vehicle wear and accident risk
Operational result
  • Failures predicted days or weeks ahead, maintenance scheduled before breakdown
  • Operational impact calculated before a maintenance decision is made
  • AI separates genuine alerts from noise, maintenance teams act on signals that matter
INTELLIGENT AUTOMATION

Automated maintenance and dispatch workflows

When AI identifies a maintenance need, Intelligent Automation executes the response, creating work orders, scheduling technicians, notifying dispatch, updating asset availability and propagating the change across all dependent operational systems. No manual ticketing. No missed handoffs.

Maintenance management system integrationDispatch system workflowsParts inventory automation
What gets automated
  • Work order generation and technician scheduling from predictive alerts
  • Spare parts and inventory reservation triggered ahead of scheduled maintenance
  • Dispatch and route reallocation when an asset is pulled for maintenance
  • Asset availability status propagated across fleet management, dispatch and customer systems
Operational result
  • Maintenance response time reduced from days to hours
  • Spare parts availability aligned with predicted maintenance schedule
  • Operational disruption minimised, maintenance planned, not emergency
PRODUCT ENGINEERING

Asset intelligence platform

A purpose-built asset health platform showing live status, predictive health scores, maintenance schedules and operational KPIs across every asset in the fleet or infrastructure estate, in a single, real-time view accessible by operations, maintenance and management teams.

Live asset health dashboardPredictive health scoring UIFleet utilisation analyticsMobile field interface
Platform capabilities
  • Live asset map — every asset with real-time location, status and health score
  • Predictive health dashboard, risk-scored assets with projected failure timeline
  • Maintenance planner, upcoming scheduled work aligned with operational demand
  • Utilisation analytics, efficiency, fuel, route and driver performance trends
Operational result
  • Fleet and maintenance managers operate from one source of truth
  • Maintenance decisions made with operational impact visibility
  • Asset utilisation optimised continuously, not reviewed quarterly
PLATFORM OPS & GOVERNANCE

Continuous telemetry reliability and data governance

For Asset Intelligence to be trusted, the telemetry pipeline must be reliable. Platform Ops governs every data feed, detecting gaps, latency anomalies and sensor outages before they corrupt the predictive model or trigger false alerts. Data governance ensures asset data is accurate, complete and audit-ready.

Telemetry feed monitoringData quality governance99.9% pipeline uptime SLA
What gets governed
  • Telemetry feed completeness, every asset signal gap detected and flagged immediately
  • Data quality validation, values within expected range, anomalies distinguished from sensor faults
  • Pipeline latency monitoring, sub-second data delivery maintained across all feeds
  • Compliance and audit, asset data retained, traceable and accessible for regulatory requirements
Operational result
  • Predictive models trained on clean, complete data, not corrupted by sensor noise
  • Operations teams trust the alerts because the data is governed
  • Regulatory compliance for asset data maintained without manual effort
Industry application

Asset intelligence across sectors.

Fleet & EV Networks

Vehicle health monitoring, predictive maintenance, EV battery degradation tracking and charging network optimisation, reducing downtime, fuel costs and unplanned service events across large fleet operations.

Energy & Industrial Assets

Power generation, pipeline, turbine and industrial equipment monitoring, failure prediction, load optimisation and maintenance scheduling across geographically distributed infrastructure.

Port & Logistics Equipment

Crane health monitoring, container handling equipment condition tracking and port yard asset intelligence, maximising throughput by keeping critical equipment operational and maintenance aligned with vessel schedules.

Frequently asked questions: Asset Intelligence

What data does asset intelligence use to predict failures?

Asset intelligence ingests telemetry from vehicle CAN bus and OBD-II interfaces, IoT sensors (temperature, vibration, pressure, current), GPS and GNSS location feeds and scheduled maintenance records. ML models trained on historical fault patterns detect anomalies in these real-time streams, flagging at-risk assets typically 24 to 72 hours before a fault would cause a service disruption.

Which sectors does real-time asset intelligence apply to?

Asset intelligence programmes have been delivered for fleet operators (commercial vehicles, logistics), EV charging network operators, port terminal equipment operators (cranes, straddle carriers, gate systems), energy and industrial infrastructure and airline ground equipment. The underlying approach, continuous telemetry, anomaly detection, predictive alerting, applies wherever assets have sensor data and downtime has a material cost.

Does Infarsight provide the IoT platform or does it connect to existing infrastructure?

Both. Infarsight can deploy the full IoT data stack using Condense (the Zeliot real-time data platform) for data ingestion and streaming, or connect to existing IoT platforms including AWS IoT Core, Azure IoT Hub and Siemens MindSphere. The integration services practice handles device connectivity across MQTT, OPC-UA, Modbus and proprietary telematics protocols.

Ready to build predictive asset intelligence?

We start with an asset audit, mapping your current monitoring coverage, telemetry sources and highest-cost unplanned maintenance events.

Solutions
Solution Category

Operational Control Towers

A real-time operational command center that unifies every system signal, surfaces every exception and routes every decision, giving operations teams a single source of truth, powered by AI, across airlines, fleets and dispatch.

95%
Faster response TAT with TripSight
34%
Less fuel consumption with FleetSight
2.1s
Avg automated resolution time
TripSight — Travel Operations Control Tower

The unified command center for travel operations.

TripSight connects airline, hotel and ground systems into a single AI-driven view, with disruption handling, automated rebooking, yield optimisation and passenger journey intelligence all in one platform.

  • Live flight ops, passenger disruption & crew status dashboard
  • Automated rebooking, 147 passengers resolved in 2.4 seconds
  • Hotel yield with real-time demand signals & competitor rates
  • Ground crew allocation driven by live gate & flight data
  • SLA tracking & financial exposure monitoring in real time
FleetSight — Fleet Operations Control Tower

Intelligence for every vehicle in your fleet.

FleetSight gives fleet operators live vehicle health, predictive maintenance alerts, route optimisation and EV network state management, all in a single control tower powered by Zeliot IoT telemetry.

  • 284+ vehicles tracked live, health, location, ETA adherence
  • Predictive dispatch based on vehicle health telemetry
  • EV charging network state, availability, faults, demand
  • Zero-delay airport transfer coordination with live flight sync
  • Driver routing optimised for real-time traffic & load
What makes a control tower different from a dashboard?

Dashboards show data

Traditional dashboards report what happened, hours ago, formatted for review, requiring a human to interpret and decide what to do. They create awareness, not action.

Control towers create action

An operational control tower doesn't just show data, it detects anomalies, routes decisions and executes actions. It transforms operational awareness into operational outcomes, automatically.

The difference: 34 minutes vs 2 seconds

In airline ops, the average time from delay detection to rebooking action is 34 minutes. With TripSight's control tower, the same action is executed in 2.4 seconds, before passengers reach the gate.

Ready to build your operational control tower?

We deploy TripSight or FleetSight in weeks, with pre-built connectors for your existing systems.

Solutions
Solution Category

Decision Intelligence Systems

Closed-loop agentic decision engines and digital twin systems that eliminate decision latency at its root. DecisionSight models your operational state, simulates scenarios and executes, or escalates when human judgment is required.

€150K+
Avg cost of one airline decision delay cascade
11 min
Decision window before airline action costs compound
2.1s
DecisionSight resolution time vs 34 min manual
4–6×
Cost: reactive vs proactive decision-making
The decision latency problem

Every Minute Between an Operational Event
and an Action Has a Revenue Cost.

In complex operations, airlines, ports, fleets, logistics, the decision window is always shorter than the decision process. Until now.

The cascade that kills margin

At 07:14, an aircraft lands 38 minutes late. Three teams work in parallel. By 07:26, 34 connecting passengers have already passed their rebooking window. The aircraft swap option was available for 11 minutes. Nobody saw it in time.

Why existing tools fail

Dashboards show what happened. Reports arrive hours late. Meetings are called to discuss what to do. By the time action is taken, the window has closed, and the cost has already been incurred.

The solution isn't faster reporting

It is eliminating the gap between operational event and corrective action by design, replacing the human decision-processing bottleneck with an agentic system that reasons and acts at machine speed.

DecisionSight: the digital twin approach

DecisionSight maintains a live digital twin of your operational state, continuously updated from every system. When an event occurs, it simulates outcomes, selects the optimal action and executes, in seconds.

How Decision Intelligence works
01

Operational state modelling

  • Live digital twin of your entire operation
  • Continuously updated from ERP, IoT, CRM, APIs
  • Entity relationships and dependency graph
  • Historical pattern learning
→ Always-current operational context
02

Event & anomaly detection

  • Real-time threshold monitoring
  • Pattern deviation detection
  • Cross-system risk correlation
  • Pre-emptive impact assessment
→ Signals before they become incidents
03

Decision reasoning

  • LLM-powered reasoning across full context
  • Policy & constraint encoding
  • Multi-option scenario simulation
  • Financial impact quantification
→ Optimal action selected automatically
04

Automated execution

  • Direct system actions, booking, dispatch, alert
  • Multi-system coordination in parallel
  • Human escalation for high-stakes decisions
  • Confidence-based routing
→ Decision executed in milliseconds
05

Audit & learning

  • Full audit trail for every decision
  • Outcome tracking against prediction
  • Model retraining from feedback
  • Explainability for governance
→ System improves continuously
ACCELERATOR

DecisionSight

Our proprietary Decision Intelligence platform, digital twin, scenario simulation and automated decision execution for Travel and Mobility operations.

Explore DecisionSight →

Ready to eliminate decision latency?

We begin with a decision latency audit, mapping your most costly operational decision delays and sizing the automation opportunity.

Solutions
Solution Category

Real-Time Operational
Data Platforms

The intelligence foundation that powers every AI decision, built on Condense and Zeliot. Data that is current, clean, connected and contextual. Not just dashboards. Not just reports. Data that acts.

4.2M
IoT signals processed per hour
1.2s
Average pipeline latency
99.4%
Data trust score across governed pipelines
10+
Years of data engineering delivery
The 4C framework, what decision-ready data means
C

Current

Available at the moment the decision needs to be made, not hours or days later.

C

Clean

Governed, validated and consistent across every system that touches it.

C

Connected

Unified across ERP, CRM, IoT and operational systems into one coherent layer.

C

Contextual

Enriched with the operational metadata needed to trigger the right action automatically.

The platform stack
Zeliot Real-Time Data Platform
Condense

Zeliot's real-time data platform (Infarsight investment), pre-built connectors for GDS, PMS, CRM, IoT and ERP systems with semantic data models and built-in governance. The data backbone powering TripSight, FleetSight and DecisionSight.

  • Pre-built Travel & Mobility data connectors
  • Semantic data models for operational decisions
  • Built-in governance, lineage and audit trail
  • Azure, AWS or hybrid cloud deployment
  • Reduces data platform build from 6 months to 6 weeks
∞ → Ready
Raw data to decision pipeline
IoT & TELEMATICS · INFARSIGHT INVESTED zeliot.in ↗

Zeliot

Infarsight's strategic IoT investment, real-time vehicle telemetry, asset location tracking, geofencing and edge processing. The sensor and telemetry backbone powering FleetSight and the Mobility COE. 284+ vehicles tracked live.

  • Real-time vehicle health & telematics data
  • Asset location, geofencing & route tracking
  • EV charging network state management
  • Edge processing for low-latency field intelligence

Technology partners

Databricks Microsoft Fabric Apache Kafka Azure Data Factory AWS Dbt

Ready to build your operational data platform?

Start with a data audit, we map your sources, gaps and highest-value pipeline opportunities.

Platform
Zeliot Real-Time Data Platform

Condense

Condense is the real-time data streaming platform from Zeliot — in which Infarsight holds a minority investment. Purpose-built to turn raw operational data from Travel, Mobility and Logistics systems into decision-ready data pipelines at enterprise scale.

What is Condense?

Condense is a real-time operational data streaming platform developed by Zeliot, in which Infarsight holds a minority investment. It provides pre-built connectors to Travel, Mobility and Logistics systems, semantic data models and real-time pipeline infrastructure, forming the data foundation that Infarsight deploys for agentic AI and intelligent automation programmes requiring low-latency, high-quality data.

The data backbone powering every Infarsight solution accelerator.

Weeks
To deployment vs months for custom builds
Pre-built
GDS, PMS, CRM, IoT and ERP connectors
4C
Current · Clean · Connected · Contextual data
What Condense delivers

The Real-Time Data Platform Every
Agentic AI Decision Depends On.

01

Pre-built connectors

  • GDS (Amadeus, Sabre, Galileo)
  • PMS (Opera, Mews, Apaleo)
  • CRM, ERP & financial systems
  • IoT event streams via Zeliot
  • Airline operational APIs
→ Connected in days, not months
02

Semantic data models

  • Travel: flight, passenger, booking, disruption
  • Mobility: vehicle, route, driver, charge session
  • Port: vessel, berth, container, equipment
  • Operational metadata for decision context
→ Data that understands your operations
03

Real-time pipeline

  • Streaming architecture on Apache Kafka
  • Sub-second latency for operational signals
  • Batch & stream processing in a unified layer
  • Auto-scaling for peak operational loads
→ Data at the speed of operations
04

Governance & quality

  • Data lineage from source to decision
  • Quality scoring & anomaly detection
  • Audit trail for every transformation
  • Master data management & deduplication
→ Data you can trust and audit
05

Cloud & deployment

  • Azure, AWS or hybrid cloud
  • Infrastructure as Code (Terraform)
  • Multi-tenant architecture
  • 99.9% uptime SLA on data pipelines
→ Enterprise-grade reliability
ALSO SEE

Zeliot IoT Integration

Condense integrates natively with Zeliot.in, Infarsight's strategic IoT investment, for real-time vehicle and asset telemetry in Mobility deployments.

Visit zeliot.in →

Want to see Condense in action?

Request a platform demo, we'll walk through a live deployment in your operational context.

Accelerators
Agentic AI for Travel Booking Operations

TripSight

Your agentic AI for an exceptional customer experience. TripSight automates offline corporate travel requests from Email, Slack, Teams and WhatsApp, reducing multi-hour request-to-book TAT to minutes. Travel agents go from 172 clicks per request to one.

What is TripSight?

TripSight is Infarsight's agentic AI delivery accelerator for corporate travel booking operations. It processes offline travel requests via email, Slack, Teams and WhatsApp, automating policy checking, GDS querying and booking confirmation. Request-to-book time: 23 minutes to 3.4 minutes. Agent clicks per booking: 172 to 1. Deployed for TMCs, corporate travel teams and OTAs with GDS integration across Amadeus and Sabre.

TMC Corporate TravelTravel AgenciesOTAHospitality
172 → 1
Clicks per request for travel agents
23 → 3.4
Minutes per email before and after
100+
Pre-trained request-to-book scenarios
10×
Faster outcomes vs manual process
The problem

Corporate Travel Agents Click 172 Times, Spend 15–20 Minutes Per Quote and Juggle Multiple Systems.

Every travel request that arrives by email, WhatsApp or Slack kicks off a manual chain, login to email, assign to agent queue, identify customer type, open GDS, fire commands, copy-paste itinerary, search templates, write quote, await confirmation. That is the status quo TripSight replaces.

Multiple quote iterations

Multiple quote revisions lead to back-and-forth emails. Every revision requires the agent to re-open GDS, re-fire commands and re-assemble the response manually.

Limited resources and backlogs

Teams stretched thin handling high volume requests build backlogs that jeopardise SLA. During peak season, the gap between demand and capacity becomes a revenue risk.

Data in different systems

Agents perform alt-tab constantly, collecting data from GDS, CRM, email and hotel systems in separate windows. Every system switch adds time, adds error risk and fragments the customer view.

Revenue lost to slow turnaround

In a bidding situation, the first quote wins. When agents take 15–20 minutes per quote, clients turn to competitors. The cost of slow TAT is not just operational, it is direct revenue leakage.

Core capabilities

From Inbox Chaos to Structured, Automated and Bookable Corporate Travel Workflows.

AI-powered email understanding

Advanced AI reads and interprets travel requests in emails like a human, accurately identifying destinations, dates, passenger count, class of service, preferences and any special requirements. Handles acronyms (DXB to MCT), spelling errors (rnd trip → round trip) and ambiguous phrasing without agent intervention.

Workflow engine and travel policy compliance

The rule engine ensures compliance with corporate travel policies, applies GDS-negotiated deals and leverages customer profiles for personalised, cost-effective bookings. Policies configured once, applied automatically across every request, every time.

Auto-pilot and co-pilot modes

Auto-pilot activates for high-volume requests, quotes, bookings, date changes, cancellations and refunds, sending responses directly to customers without agent involvement. Co-pilot mode assigns to agents for review before sharing, ensuring speed with control. Managers choose which workflows go fully automatic.

Pre-trained request-to-book scenarios

100 scenarios pre-trained out of 456 total, covering one-way, round-trip and multi-city flights; single and multi-pax; preferred airline, class of service, seat preference, meal preference, baggage, special needs and policy adherence. Hotels, car, visa and all-services combinations ready out of the box.

Digital Cockpit for managers

Command center to view response times and SLAs, customer satisfaction scores, agent performance, channel volumes and ticket throughput in real time. Managers see the full picture without asking agents for status updates.

Multi-channel intake, email, Slack, Teams, WhatsApp

TripSight works inside the tools agents already use. Requests from any channel are captured, classified and processed through the same automation layer. No new system to learn. No change management required for agents, the intelligence is invisible.

Proven outcomes

From 23 minutes per email to 3.4 minutes. Backlog eliminated.

Client evidence — Saudi Arabia

A leading corporate travel company handling an average of 124,000 travel requests per month was grappling with a daunting SLA backlog during peak season. Three support inboxes mapped. Integrated with GDS, LCC and hotel aggregators.

Before TripSight
23.2
Minutes per email, plus growing backlog
After TripSight
3.4
Minutes per email, zero backlog
Automation categories
Flights Hotels Date changes Cancellations Refunds
Enterprise-grade security

Built for enterprise data requirements.

End-to-end encryption

All data encrypted in transit and at rest. SHA-256 encoding and data encryption at rest across all customer data stores.

IP whitelisting and SSO

Secure login using SSO, IP whitelisting for network-level access control and JWT authentication for API integrations.

GDPR compliance

Data vault for customer data, sensitive data masking and GDPR-compliant processing. Built for regulated enterprise travel environments.

Seamless app connectivity

Connects to Amadeus, Sabre, Travelport, Zendesk, Freshdesk, Salesforce, ServiceNow, Zoho, Jira, Slack, Teams, Gmail, Outlook and more, without replacing existing tools.

Integrations
AmadeusSabreTravelport Microsoft TeamsOutlookGmail SlackWhatsApp ZendeskFreshdeskSalesforceServiceNow ZohoJiraHelpShift Google DriveGoogle SheetsExcel Microsoft Dynamics NAV

Ready to take TripSight for a test drive?

We start with a request-to-book workflow audit, mapping your current email volumes, average TAT and highest-cost manual steps, then show you exactly what automation covers from day one.

01 Request-to-Book Audit
02 Policy and Integration Setup
03 Go Live in Weeks
Accelerators
Post-Booking Operations for Tour Operators and DMCs

JourneySight

JourneySight helps DMCs and tour operators coordinate itineraries, suppliers, guides, vehicles and guest logistics across complex travel programmes, reducing coordination delays, improving visibility across programmes and enabling faster response to disruptions during tours.

What is JourneySight?

JourneySight is Infarsight's post-booking delivery accelerator for DMCs and tour operators. It automates the coordination of itineraries, suppliers, guides, vehicles and guest logistics across concurrent travel programmes, syncing live flight data, triggering supplier communications and managing exceptions before guests are affected. It replaces the manual programme coordination that consumes DMC operations capacity.

DMC Tour OperatorsGround OperationsDestination Management
6 hrs
Saved per operations teammate daily
Zero
Missed pickup target with live flight sync
Real-time
Visibility across all active programmes
4–6×
Cost savings vs manual coordination
The problem it solves

Post-booking operations consume more capacity than booking itself.

For DMCs and tour operators, the real work starts after the booking is confirmed. Coordinating suppliers, allocating guides and vehicles, managing guest communications across dozens of concurrent programmes, this is where operational capacity is consumed and margin is lost.

Supplier coordination is manual and fragmented

Ground suppliers, hotels, guides and transport providers managed through email and phone, with no single view of confirmation status across the programme.

Flight changes discovered too late

When a flight is delayed or changed, the downstream impact on transfers, guides and programme timing is discovered manually, often after the guest has already arrived.

Programme profitability eroded by operational overhead

Coordinators spending hours per day on status chasing, amendment processing and manual reconciliation, overhead that scales with programme volume, not with value.

No visibility across concurrent programmes

Operations teams managing multiple active tours simultaneously with no unified view, each programme tracked in a separate spreadsheet or system.

What JourneySight does

Coordinated, visible, automated.

Tour programme and itinerary coordination

Every component of the programme, flights, hotels, excursions, guides, vehicles and restaurant bookings, tracked in a single operational view with confirmation status, timing dependencies and exception flags visible in real time.

Live flight sync and transfer automation

JourneySight connects to live flight data feeds, vehicle dispatch adjusts automatically when flights are early, delayed or diverted. Guides and drivers notified automatically. Zero missed pickups from flight changes the operations team didn't see in time.

Guide, vehicle and resource allocation

Automatic allocation of guides, vehicles and equipment across concurrent programmes, based on availability, skill set, location and programme requirements. Conflicts flagged before they become operational problems.

Supplier confirmation and communication

Supplier confirmations tracked across the programme, JourneySight sends, chases and logs all supplier communications automatically. Amendment instructions dispatched and acknowledged without coordinator involvement for routine changes.

Disruption detection and exception management

Programme-level anomaly detection, hotel stop-sells, supplier failures, weather disruptions and schedule changes monitored continuously. JourneySight surfaces exceptions with impact assessment and resolution options before guests feel the disruption.

Guest communication automation

Pre-arrival itinerary sharing, in-destination updates, transfer reminders and disruption notifications sent automatically via guest's preferred channel, reducing inbound queries and ensuring guests always have current information.

Frequently asked questions: JourneySight

What types of travel operators benefit most from JourneySight?

DMCs and tour operators running complex multi-day programmes with multiple suppliers, guides and ground services see the highest impact. The operational benefit scales with programme complexity: the more suppliers to coordinate, the more flight changes to monitor and the more concurrent programmes running simultaneously, the greater the reduction in manual effort JourneySight delivers.

How does JourneySight handle flight changes and IRROPS?

JourneySight monitors live flight data feeds continuously and cross-references them against booked itineraries. When a flight change, delay or cancellation affects a guest, the system automatically calculates the downstream impact on transfers, guides and accommodation check-in windows, triggering supplier communications and generating rebooking options before the DMC operations team would otherwise become aware of the disruption.

Does JourneySight replace existing tour management software?

JourneySight operates alongside existing tour management platforms such as Tourplan, TravelBox and Travelogic, it does not require replacement. It adds the real-time intelligence and automation layer above them: live flight monitoring, automated supplier coordination and exception detection. Infarsight's integration services handle the connectivity to existing mid-office and supplier systems.

Ready to see JourneySight in action?

We start with a programme operations audit, mapping your current coordinator workflows and highest-cost manual coordination steps.

01 Programme Operations Audit
02 Supplier Integration Design
03 Pilot Deployment (~6 weeks)
Accelerators
Post-Booking Operations Intelligence Platform

TaskSight

TaskSight is the post-booking operations automation engine that runs everything after the booking is confirmed.

What is TaskSight?

TaskSight is Infarsight's post-booking operations automation delivery accelerator. It orchestrates every workflow, task assignment and exception that follows a confirmed booking, across travel operations, hospitality and transportation. It connects back-office systems, supplier communications and customer touchpoints into a single accountable control layer, eliminating manual coordination.

It orchestrates every task, handoff and exception across travel, hospitality and transportation, connecting back-office systems, field teams and customer touchpoints into a single workflow control layer where every task is assigned, tracked, escalated and resolved without manual intervention.

Travel Ops HospitalityAirlinesTour OperatorsDMCs
6 hrs
Saved per operator daily
−80%
Manual handoffs eliminated
95%
SLA compliance improvement
10×
Faster exception resolution
Product positioning

Where TripSight ends,
TaskSight begins.

TripSight manages the booking process, search, quote, confirmation. TaskSight manages everything after confirmation: service delivery, supplier coordination, exception handling and SLA management. Two platforms, one seamless traveller experience.

TripSight — Booking Process
Scope
Search to Quote to Booking confirmation
Focus
Revenue capture and booking accuracy
Users
Reservations, sales, GDS agents
Systems
GDS, IBE, CRS, payment gateways
TaskSight — Post-Booking Process
Scope
Confirmation to Fulfilment to Service delivery
Focus
Operational execution and SLA compliance
Users
Ops managers, suppliers, field teams, support
Systems
PMS, CRM, ERP, supplier portals, task boards
The problem

Post-Booking Operations Is Where Most Travel Businesses Break.

The booking platform does its job. The operational gap lives in everything that follows. The booking is confirmed, and then the chaos begins.

Fragmented handoffs

Tasks bounce between email, WhatsApp, spreadsheets and calls. Nothing is tracked. Accountability disappears the moment a booking is confirmed. Every handoff is a potential failure point, invisible to everyone except the person who dropped the ball.

Invisible exceptions

Service failures, supplier delays and missed SLAs go undetected until a customer complains. Reactive management is the default. By then, the operational window to recover has passed, and the cost is already a customer experience problem.

No operational control

Operations managers have no real-time view of what is outstanding, overdue or at risk. Decisions are made on memory, not data. Status updates require phone calls. Shift handovers require tribal knowledge. Performance is reviewed in reports, not acted on in the moment.

How it works

From Booking Confirmation to Service Delivery, Automated, Orchestrated and Measurable.

01

Booking triggered

TripSight or external booking system confirms the reservation and fires an event to TaskSight.

02

Workflow activated

TaskSight instantiates the relevant workflow template, hotel check-in, tour, transfer or flight service.

03

Tasks assigned

Roles, suppliers and deadlines auto-assigned based on service type, SLA and team availability.

04

Exceptions managed

Missed SLAs, supplier failures or customer changes trigger smart escalation and automatic re-routing.

05

Outcomes reported

Completion status, SLA adherence and quality scores feed live ops dashboards and client reports.

Core capabilities

Six modules that eliminate manual operations.

Workflow orchestration

Configurable workflow templates for every post-booking service type. Triggers, conditions, parallel tasks and approvals, no code required. Templates encode the operational intelligence for every service: hotel, tour, transfer, airline, group booking.

Task management

Intelligent task assignment by role, skill and current workload. Deadline tracking, priority queues and completion verification across teams and suppliers. Every task has an owner, a deadline and a status, visible to everyone who needs to see it.

Exception and alert engine

Real-time monitoring of SLA breach risk across every active task. Automated escalation trees route exceptions to the right human at the right time, before the customer notices, not after they complain. Every escalation carries full operational context.

Supplier coordination

Supplier task portals for hotels, transfer providers, guides and airlines. Two-way status updates eliminate check-in calls and chasing emails. Suppliers confirm, update and flag exceptions directly in the system, no more WhatsApp chains between coordinators.

Customer communication

Automated, personalised pre-trip and in-trip communications triggered by operational events, not scheduled blasts. Reminders, updates, disruption notifications and service confirmations dispatched at the moment they are operationally relevant.

Ops intelligence dashboard

Live operational KPIs, task completion rates, SLA adherence, exception volumes, team productivity and supplier performance scores, updated in real time. Managers see the full picture without asking for status updates.

Industry applications

TaskSight adapts to the operational reality of each travel segment.

Tour Operators

  • Auto-create supplier task lists on booking confirmation
  • Track visa, documentation and pre-departure checklist completion
  • Guide assignment and briefing workflows managed automatically
  • Amendment requests handled across 10+ supplier systems simultaneously
  • SLA dashboards for voucher issuance and supplier confirmations

Airlines and Ground Ops

  • Post-booking seat, meal and ancillary fulfilment workflows
  • Disruption response task orchestration, rebooking, hotel, transfers
  • Ground crew task assignment from live flight status events
  • IROPS communication chains automated end-to-end
  • Lounge, special assistance and VIP service task management

Hotels and Hospitality

  • Pre-arrival room assignment and special request fulfilment
  • Group booking task coordination across F&B, housekeeping, AV
  • Automated post-stay survey and service recovery workflows
  • Maintenance and service fault task routing and resolution
  • OTA amendment and cancellation processing workflows

DMCs and Ground Handlers

  • Manifest management and daily service confirmation workflows
  • Transfer and logistics coordination task assignment
  • Real-time supplier status tracking for multi-day itineraries
  • Exception handling for no-shows, delays and supplier failures
  • Client reporting automation with live operational data
Business outcomes

Measurable operational improvement from day one.

6 hrs

Saved per operator daily

Elimination of manual task chasing, status calls, email follow-ups and spreadsheet updates across every booking in operations.

−80%

Manual handoffs eliminated

Automated task routing replaces WhatsApp chains and email threads. Every handoff is tracked, timed and completed within system.

95%

SLA compliance rate

Real-time exception detection and escalation means SLA breaches are caught before customers notice, not after they complain.

10×

Faster exception resolution

Intelligent routing sends exceptions to the right person with full context. Resolution time drops from hours to minutes.

Engagement model

We meet you where your operations are, and get you running fast.

Starter Deployment · 4–6 weeks

Up and running fast

  • Pre-built workflow templates for your service category
  • Rapid connector setup for existing booking and ops systems
  • Core task management and exception alerting active
  • Embedded Infarsight engineer during onboarding
Operational Platform · 8–12 weeks

Full operational coverage

  • Custom workflow library built for your operational model
  • Supplier portal activation and onboarding
  • SLA engine calibrated to your commercial agreements
  • Command center dashboards and reporting layer
Center of Excellence · Ongoing

Continuous improvement

  • Dedicated Infarsight team embedded in operations
  • Continuous workflow expansion and optimisation
  • AI-driven decision layer and predictive alerting
  • KPI reporting and quarterly business reviews
Why TaskSight

The TaskSight edge.

01

Built for travel operations

Not a generic task management tool repurposed for travel. TaskSight was designed from the ground up for the operational reality of post-booking, supplier networks, SLA chains, regulatory requirements and multi-timezone execution.

02

A platform, not a project

TaskSight is not delivered once and handed over. Infarsight teams stay embedded, continuously expanding workflows, tuning automation and building new use cases as your operations evolve. 10+ years in travel operations means we know where the exceptions live before you describe them.

03

Integrates without ripping and replacing

Built on Microsoft Power Platform, Azure-native, REST API-first and compatible with Appian and UiPath automation layers. Connects TripSight, GDS, PMS, CRM, ERP, supplier portals and payment gateways, without displacing any existing system.

Integration architecture
TripSight GDS / CRSPMS / Opera Salesforce CRMERP Supplier portalsPayment gateways WhatsAppEmail Ops dashboardReporting and BI Microsoft Power PlatformAzure AppianUiPath

Ready to transform your post-booking operations?

We begin with a structured operational assessment, mapping your post-booking workflows, identifying the highest-value automation opportunities and designing the architecture that connects your systems, teams and suppliers.

01 Operational Assessment
02 Workflow Design Workshop
03 Pilot Program Design
Accelerators
Realtime Asset Intelligence

AssetSight

AssetSight provides continuous intelligence across fleets, vehicles and operational infrastructure, using telemetry, anomaly detection and predictive signals so potential failures, inefficiencies and operational disruptions can be detected earlier and resolved before they impact operations.

What is AssetSight?

AssetSight is Infarsight's real-time asset intelligence delivery accelerator, providing continuous monitoring, predictive maintenance signals and dispatch optimisation across fleets, EV charging networks and operational infrastructure. It ingests telemetry from vehicle CAN bus, OBD-II and IoT sensors, applies ML anomaly detection and triggers maintenance or dispatch actions before faults impact operations.

Fleet Operations EV NetworksMobilityIndustrial Assets
−34%
Reduction in fuel usage and downtime
97%
On-time dispatch reliability
Predictive
Failures detected before they occur
Real-time
Asset health across every connected device
What AssetSight does

Continuous real-time intelligence across every operational asset.

AssetSight connects every vehicle, machine and infrastructure asset to a live intelligence layer, turning raw telemetry into operational signals that predict, detect and prevent failures before they happen.

Live telemetry and asset monitoring

Every vehicle and asset emitting a live signal, location, health, utilisation, performance, aggregated into a single real-time view. No dark fleet. No unmonitored equipment. Asset state always current, always accurate.

Predictive maintenance signals

AI models analyse telemetry streams for degradation patterns, vibration drift, temperature anomalies, oil pressure deviations, battery health decline, predicting failures days or weeks ahead. Maintenance scheduled proactively, not reactively after breakdown.

IoT and operational data integration

Telemetry ingested from vehicle OBD/CAN bus, IoT sensors, charging infrastructure and third-party telematics platforms. Data normalised, enriched and made available to the operational intelligence layer in sub-second latency.

Predictive dispatch optimisation

Dispatch decisions driven by live vehicle health, location and availability, not just a vehicle list. Vehicles assigned based on condition, remaining range, route suitability and SLA requirements. Asset utilisation optimised continuously across the fleet.

EV charging network intelligence

Charging network state management, real-time availability, session monitoring, demand forecasting, fault detection and battery health tracking across distributed EV infrastructure. Charging schedules optimised against operational demand and grid costs.

Automated maintenance and dispatch workflows

When a predictive alert is triggered, AssetSight executes the response, work orders created, technicians scheduled, parts reserved, dispatch updated and stakeholders notified. No manual ticketing. The system acts on the intelligence it generates.

Ready to build predictive asset intelligence?

We start with an asset audit, mapping your current monitoring coverage, telemetry sources and highest-cost unplanned maintenance events.

01 Asset & Telemetry Audit
02 Predictive Model Design
03 Pilot Deployment
Accelerators
Digital Twin / Control Towers

CommandSight

CommandSight creates a digital twin of enterprise operations, giving teams real-time visibility across systems, assets and operational workflows. Disruptions can be detected earlier, decisions evaluated faster and actions coordinated across multiple systems from a single control layer.

Related: Digital Twins

A digital twin is a continuously updated virtual replica of an operational environment. See Digital Twins solution →

What is CommandSight?

CommandSight is Infarsight's operational command intelligence delivery accelerator, a unified layer that combines a digital twin of enterprise operations with a real-time decision inbox, signal feed and agent orchestration console. It gives operations leaders a single interface to see what is happening, what AI has already resolved and what requires a human decision.

Operations Control Digital TwinAirlinesPortsFleet
Real-time
Digital twin of entire operational state
10×
Faster event-to-decision response
Near-zero
Decision execution latency
100%
Actions auditable with full reasoning chain
What CommandSight does

A unified operational intelligence command layer.

CommandSight aggregates signals from every operational system into a live digital twin, then applies AI to detect anomalies, simulate response options and execute or route decisions. Operations teams see everything. Act on anything. From one interface.

LAYER 1

Decision Pulse

Live command view of the entire operational state, every system signal, every active decision, AI vs human action ratio, financial exposure and SLA adherence updated in real time. The situational awareness layer.

What you see
  • Live operational graph, every entity, every status, every signal in one view
  • AI vs human decision ratio tracking across the operation
  • Financial exposure dashboard, revenue at risk as it builds
  • SLA adherence in real time across every tracked workflow
Operational result
  • Shift handovers in minutes, full situational context transferred instantly
  • Executives and managers see operational performance live, not in reports
  • No surprises, issues visible before they escalate
LAYER 2

Decision Inbox

The action center for decisions that require human judgment, all escalations in one prioritised queue, with full context assembled by AI, recommended resolution and one-click execution. Nothing falls through the cracks.

What you manage
  • All human-required decisions in one prioritised queue
  • SLA timers and financial impact indicators for each item
  • AI-assembled context, full picture before a decision is made
  • One-click execution, decision confirmed and all actions triggered simultaneously
Operational result
  • Operators handle more exceptions in less time
  • Decisions made with complete context, not instinct
  • No high-priority item missed during a busy operational period
LAYER 3

Signal Feed

Real-time anomaly alerts from all connected operational systems, detected before they become incidents. Cross-system correlation identifies root cause and impact scope automatically, so teams respond to meaning, not noise.

What gets detected
  • Threshold breaches and anomalies across every connected data source
  • Cross-system correlation, a delay in one system's impact traced across all others
  • Risk scoring, severity, financial exposure and operational impact assessed automatically
  • Configurable routing, alerts directed to the right team by type and severity
Operational result
  • Issues detected before users or customers feel them
  • Teams respond to impact-assessed signals, not raw alert noise
  • Cross-system incidents identified as connected, not separate events
LAYER 4

Agent Orchestration

AI agents coordinate across all connected systems to execute decisions, automatically for routine actions, with escalation for complex exceptions. Multi-system actions triggered simultaneously from a single decision. Full audit trail for every agent action.

What agents orchestrate
  • Automated decision execution, agents act within defined confidence thresholds
  • Multi-system coordination, one decision triggers simultaneous actions across platforms
  • Escalation routing, complex decisions surfaced to the right human with full context
  • Audit trail, every agent action logged with reasoning chain and outcome
Operational result
  • Routine decisions handled automatically, teams focus on what requires judgment
  • Actions coordinated across all systems simultaneously, not sequentially
  • Every decision traceable for compliance, audit or post-incident review
LAYER 5

Performance Intelligence

Operational KPI dashboards, automation ROI tracking, agent performance monitoring and continuous improvement recommendations, built into the command layer so performance improvement is ongoing, not periodic.

What gets measured
  • Operational KPIs tracked against targets in real time
  • Automation coverage and ROI, value generated per workflow automated
  • Agent decision quality, accuracy, confidence drift and retraining triggers
  • Continuous improvement recommendations from performance pattern analysis
Operational result
  • Operations leaders have performance visibility without waiting for reports
  • Automation ROI quantified and tracked from day one
  • Platform improves continuously based on measured outcomes

Frequently asked questions: CommandSight

What is the difference between CommandSight and a standard operations dashboard?

A standard operations dashboard shows data. CommandSight shows the operational state, and acts on it. It combines a live digital twin of operations with an AI decision inbox, where agents surface resolved issues and pending escalations. Operators see not just what is happening, but what has already been resolved automatically and what requires a decision from them, reducing the cognitive load on operations teams significantly.

Which operations does CommandSight work with?

CommandSight has been deployed for airline operations control, fleet dispatch centres, port terminal operations and logistics networks. Any operational environment where multiple systems feed into a central decision point, and where the cost of slow or inconsistent decisions is measurable, benefits from the CommandSight architecture.

How does CommandSight connect to existing enterprise systems?

CommandSight sits above the integration layer. Infarsight's data engineering and integration services practices build the connectivity to booking systems, ERP, IoT platforms, CRM and operational tools, CommandSight then receives normalised, real-time operational signals from this data foundation. It does not require replacement of existing systems; it unifies them into a single operational view with AI-driven decision routing.

Ready to build your operational command center?

We start with an operational intelligence audit, mapping your data sources, decision flows and highest-cost manual interventions.

01 Operational Intelligence Audit
02 Command Layer Architecture
03 Pilot Deployment
Accelerators
Decision Intelligence

DecisionSight

DecisionSight is a real-time operational decision intelligence system, detecting signals across all operational systems, evaluating options against business constraints and executing the optimal decision automatically. Beyond dashboards. Beyond alerts. Beyond reporting.

Decision Intelligence Digital TwinTravelMobilityPorts
10×
Faster operational decisions
Simulate
Scenario outcomes before acting
Near-zero
Decision execution latency
100%
Decisions auditable with full reasoning chain
What is a Decision Intelligence system

A system that doesn't just show what's happening.
It acts on it.

Most operational tools surface information. DecisionSight goes further, it models the operational state as a digital twin, simulates the projected outcome of every available response option, and executes the optimal decision automatically within defined governance boundaries.

01 PERCEIVE

Signal detection

Real-time signals ingested from every connected operational system, events, anomalies, threshold breaches and emerging risks detected the moment they appear.

02 MODEL

Digital twin update

The operational digital twin updates continuously, every entity, relationship and constraint reflecting the current real-world state within seconds of any change.

03 SIMULATE

Scenario evaluation

Before any action, DecisionSight simulates 3–5 response scenarios, projecting the downstream impact of each option across time, cost, SLA and operational constraints.

04 ACT

Execute or escalate

For decisions within confidence thresholds, DecisionSight executes automatically across all connected systems. For high-stakes exceptions, it surfaces to the right human with full context and recommended action.

What DecisionSight does

The capabilities behind decision intelligence.

Digital twin modelling

A continuously updated digital replica of the operational environment, every asset, booking, crew member, resource and constraint modelled in real time. When something changes in the physical world, the twin updates within seconds.

Scenario simulation and outcome projection

Before executing any action, DecisionSight simulates the downstream impact of each available option, across time, cost, SLA exposure and customer experience dimensions. Decisions made with projected outcome visibility, not instinct.

Policy and constraint encoding

Business rules, SLA thresholds, cost constraints, regulatory obligations and operational priorities encoded into the decision model, not as brittle IF/THEN logic, but as contextual constraints that apply dynamically to each unique situation.

Closed-loop action execution

Decisions don't produce recommendations, they trigger action. DecisionSight executes across all connected operational systems simultaneously, closes the loop in the digital twin and logs every action with its reasoning chain for compliance and audit.

Human-in-the-loop governance

Confidence thresholds define what the system decides automatically and what it escalates. Escalations surface with full context, simulated outcomes and recommended action, keeping humans in control of what matters while agents handle everything else.

Continuous learning from outcomes

Every decision, automated or human, feeds back into the model. DecisionSight learns from outcomes, adjusting confidence thresholds, improving scenario accuracy and expanding automation coverage as operational patterns evolve.

Ready to deploy decision intelligence?

We start with a decision latency audit, mapping your highest-cost operational decision delays and designing the automation architecture.

01 Decision Latency Audit
02 Decision Architecture Design
03 Pilot Agent Deployment
Delivery Accelerators & Data Platforms

Pre-built operational intelligence.
From months to weeks.

Six delivery accelerators purpose-built for Travel and Mobility operations, each combining Data Engineering, Agentic AI, Intelligent Automation, Product Engineering and Platform Ops into a deployable product.

Data platforms
Proprietary Platform · IP #1
Condense

Operational data platform with pre-built GDS, PMS, CRM, IoT and ERP connectors. Semantic data models, governance and real-time pipelines. The data backbone powering every solution accelerator.

∞ →
Raw data to decision pipeline
IoT & Telematics · Infarsight Invested zeliot.in ↗

Zeliot

Real-time vehicle telemetry, asset intelligence and IoT data platform, Infarsight's strategic investment that powers FleetSight and the Mobility COE. 284+ vehicles tracked live. Edge processing for low-latency field intelligence.

Vehicle telemetryAsset trackingEV chargingEdge processingGeofencing
Solution accelerators
Agentic AI for Travel Booking Operations
TripSight

Automates offline corporate travel requests from Email, Slack, Teams and WhatsApp, cutting agent clicks from 172 to 1 and reducing request-to-book TAT from 23 minutes to 3.4 minutes.

172 → 1
Clicks per request for agents
Post-Booking Operations for DMCs and Tour Operators
JourneySight

Coordinates itineraries, suppliers, guides, vehicles and guest logistics across complex travel programmes, with live flight sync and automated supplier communications.

6 hrs
Saved per coordinator daily
Post-Booking Operations Intelligence Platform
TaskSight

The operational engine that runs everything after the booking is confirmed, orchestrating every task, handoff and exception across travel, hospitality and airlines without manual intervention.

−80%
Manual handoffs eliminated
Realtime Asset Intelligence
AssetSight

Continuous intelligence across fleets, vehicles and infrastructure using telemetry, anomaly detection and predictive signals, failures detected before they impact operations.

−34%
Fuel and downtime reduction
Digital Twin / Control Towers
CommandSight

Creates a digital twin of enterprise operations, real-time visibility across systems, assets and workflows with AI decision routing and one-click execution.

10×
Faster event-to-decision
Decision Intelligence
DecisionSight

Real-time decision intelligence system — detects signals, evaluates options against business constraints and executes the optimal decision automatically.

Near-zero
Decision execution latency
Strategic Partnership
Bosch Mobility Solutions

Strategic technology partner delivering data engineering, agentic AI and operational intelligence for Bosch's global mobility programs.

Want to see the platform stack in action?

Request a demo, we'll walk through the accelerators relevant to your operational context.

Services
Data Engineering · 10+ years · 30+ enterprise programs

Data Engineering Services:
From Raw Data to Operational Decisions.

Infarsight Data Engineering services build the intelligence foundation that connects operational data to real-time business decisions, across ERP, CRM, IoT and operational systems. We build data pipelines and platforms designed for operational action, not just reporting.

What is Enterprise Data Engineering?

Enterprise data engineering is the practice of designing, building and maintaining the data pipelines, platforms and governance systems that connect raw operational data to business decisions. It covers data ingestion, transformation, quality management, real-time streaming and the infrastructure that makes AI and analytics possible at scale.

Microsoft Fabric Partner Databricks Ecosystem AWS · Azure · GCP Condense — Strategic Investment Informatica
10+
Years of data engineering delivery
30+
Enterprise data programs delivered
60%
Faster pipeline build with Condense
Near-zero
Silent data failures with BAU monitoring
The problem

Enterprises Are Drowning in Data
Yet Starved of Operational Decisions.

Data Exists, But Isn't Usable

Siloed across ERP, CRM, IoT and BI systems with no unified layer. Teams can't trust what they're looking at. Decisions are made on contested data.

Insights Arrive Too Late

Reports take hours or days. By the time data reaches decision-makers, the operational window has closed, and the cost of inaction has already compounded.

Manual, Brittle Pipelines

One-off scripts, manual extracts and fragile integrations break under scale, costing time, trust and money. Data quality collapses within 6 months of go-live.

No Single Source of Truth

Finance, Operations and Technology each have a different version of the same number. Every team defines "customer" differently. Decisions are built on a flawed foundation.

"We're trying to do AI. But we haven't even engineered our data like a product."

, Chief Digital Officer, Ports (USA)

The Infarsight difference

We Don't Just Deliver Data Pipelines.
We Own the Data Quality With You.

Operational Context First

We understand Travel, Ports and Mobility deeply. Our engineers don't just build pipelines, they understand the operational decisions those pipelines need to serve.

End-to-End Ownership

We connect data engineering directly to the automation and agentic AI layers. Your pipelines don't end at a dashboard, they feed the decision systems that run your operations.

Condense Accelerator

Our strategic investment in Condense reduces time to production-grade pipelines by up to 60%, pre-built connectors, governed templates and observability tooling built in.

BAU Commitment

We embed engineers into your operations for long-term data quality ownership. Unlike project-based delivery, we stay accountable for the health of the data systems we build.

What decision-ready data means

The 4C Framework.

Most organisations have data. Very few have data that is current, clean, connected and contextual enough to drive operational decisions without human intervention.

C

Current

Available at the moment the decision needs to be made, not hours or days later.

C

Clean

Governed, validated and consistent across every system that touches it.

C

Connected

Unified across ERP, CRM, IoT and operational systems into one coherent layer.

C

Contextual

Enriched with the operational metadata needed to trigger the right action automatically.

Our 7 data engineering service tracks

Targeted tracks, not one-size-fits-all.

Each track is designed for a specific data problem. We deploy what your operation actually needs.

TRACK 01

Business as Usual (BAU)

Your pipelines need to run like clockwork, monitored, maintained and trusted every day.

SQL ServerOraclePythonT-SQL
What we do
  • Monitor and maintain ETL/ELT pipelines 24/7
  • Fix issues before they impact reporting
  • Ensure timely and trusted data delivery
  • Root cause analysis & post-incident documentation
Why it matters
  • No more 3AM calls about failed jobs
  • Analysts stop babysitting data feeds
  • Regain trust in your daily data
TRACK 02

Data Streaming

Real-time pipelines that ingest, enrich and trigger actions the moment an event occurs.

KafkaCondenseAzure Event HubsDatabricks
What we do
  • Design real-time streaming pipelines
  • Ingest, enrich and trigger actions instantly
  • Monitor for lags, drops and anomalies
  • Resilient by design, retry logic & dead-letter queues
Why it matters
  • Make decisions in minutes, not hours
  • Power real-time customer experiences
  • Automate responses without human delay
TRACK 03

Data Quality Assessment

Audit every byte from ingestion to insights, identify hidden risks and fix broken pipelines before they break operations.

dbtSQL Rule EnginesAzure Purview
What we do
  • Completeness & accuracy scoring
  • Anomaly detection on key datasets
  • Identify hidden risks & missed opportunities
  • Detailed report with actionable fixes
Why it matters
  • Monetize unused data assets
  • Fix broken pipelines and cut waste
  • Migrate with clarity, not chaos
TRACK 04

Data Capturing (IoT & Edge)

Edge-to-boardroom ingestion, capturing data from cameras, meters, IoT devices and machines into scalable pipelines.

Azure IoT EdgeCondenseZeliot
What we do
  • Capture data from cameras, meters, IoT, machines
  • Design scalable ingestion pipelines
  • Handle initial and incremental loads
  • Edge processing for low-latency field intelligence
Why it matters
  • No more missing data from field devices
  • Plug new devices into your data fabric
  • Make field data work for the boardroom
TRACK 05

Data Movement & Modernisation

Migrate legacy infrastructure to cloud-native architectures without disrupting live operations.

MS FabricDatabricksdbt CloudAirflow
What we do
  • Ingest from apps, sensors, cloud & on-prem
  • Unify formats, resolve conflicts, standardise schema
  • Migrate legacy to cloud-native lakehouse
  • Full data lineage & observability throughout
Why it matters
  • Build a clean, scalable system of record
  • Eliminate integration delays & migration chaos
  • Enable AI/BI and reduce infrastructure costs
TRACK 06

Analytics Enablement

Turning data into self-serve intelligence that empowers operational decisions, not just executive reports.

Power BIDatabricksCondenseLooker
What we do
  • Align KPIs with operational business goals
  • Build real-time, role-based dashboards
  • Enable self-serve, action-ready analytics
  • BI platform setup, governance & certified datasets
Why it matters
  • Teams aligned on one version of truth
  • Cut reporting delays & Excel workarounds
  • Data teams focus on insights, not ad hoc requests
TRACK 07

Master Data Management

Creating a single, trusted version of your most critical operational data, customers, assets, locations, products.

MS PurviewAzure Data FactoryDataverse
What we do
  • Build a single source of truth for core entities
  • Clean, de-duplicate & standardise master data
  • Sync MDM across ERP, CRM, DWH & BI tools
  • Data stewardship & governance model
Why it matters
  • Eliminate silos with a 360° entity view
  • Enable consistent, cross-team analytics
  • Power personalisation, AI & automation
Industry application

Data Engineering Services Purpose-Built for
Travel, Ports and Mobility Operations.

Travel & Hospitality

  • Unified booking data across OTA, GDS & direct channels
  • Real-time yield pipelines for dynamic pricing
  • Guest data MDM, single guest profile across PMS
  • Disruption event feeds for automated rebooking

Ports & Logistics

  • Vessel tracking & berth scheduling data integration
  • Container dwell time analytics from gate sensor + ERP
  • Customs clearance & documentation pipelines
  • Port throughput KPI dashboards with real-time feeds

Fleet & Mobility

  • Vehicle telematics ingestion at scale, IoT to lakehouse
  • Fleet health scoring for predictive maintenance
  • Driver & route data MDM across dispatch systems
  • EV charging event streams & utilisation analytics

Airlines

  • Flight ops data, OAG, ACARS, flight plan integration
  • Passenger journey stitching across PSS, DCS & loyalty
  • Crew data management & rostering analytics
  • Revenue management data for yield operations
Strategic Investment

Condense

Infarsight's strategic investment in Condense — a real-time streaming platform that reduces time to production-grade pipelines by up to 60%. Pre-built connectors for Travel, Hospitality and Mobility source systems. Governance, lineage and observability built in from day one.

60%
Reduction in pipeline setup time
10+
Enterprise programs running on Condense
Built-in
Governance, lineage & observability
Weeks
Time to production-grade pipelines
How we engage

The data engineering workflow.

From operational problem to production data system, in a repeatable, governed process.

01

Discover

Data audit, source mapping, pain sizing. 1–2 weeks.

02

Design

Architecture blueprint, pipeline design, governance framework. 2–3 weeks.

03

Build

Pipeline development, integration, data quality rules. 4–12 weeks.

04

Operate

Monitoring, incident management, performance tuning. Ongoing.

05

Optimise

Query optimisation, new source onboarding, quality improvement. Continuous.

Also see: Real-Time Operational Data Platforms solution →  |  Condense data platform →  |  Agentic AI — what the data feeds →

Related capabilities

Ready to build your data foundation?

We begin with a Data Readiness Assessment, mapping your current landscape, identifying highest-value opportunities and designing the architecture.

Services
Agentic AI · 10+ years · 30+ enterprise programs

Agentic AI Engineering:
Better Operational Decisions. Automatically.

Infarsight Agentic AI engineering builds the decision layer that sits between your operational data and the actions your business needs to take, closing the gap between operational event and automated response, at enterprise scale.

What is Agentic AI?

Agentic AI refers to AI systems that autonomously perceive operational signals, reason across contextual data and execute decisions across connected enterprise systems, without requiring human intervention at each step. Unlike AI that produces recommendations, agentic systems close the loop: they act, escalate and learn from operational outcomes.

Microsoft AI Partner ISO 27001:2018 Model-Agnostic LangChain · LangGraph · AutoGen Human-in-the-Loop by design
10+
Years of AI & ML delivery
30+
Operational AI programs delivered
10×
Faster event-to-action decisions
−80%
Reduction in manual coordination
Why Infarsight for Agentic AI

We Build Production Decision Agents.
Not AI Demos or Proof-of-Concepts.

Decision Agents, Not AI Demos

Every agent we build has a defined operational decision to make, a measurable outcome to drive and a governance framework that keeps humans in control. We don't build AI for its own sake.

Operational Context Is Our Advantage

We understand Travel, Ports and Mobility deeply. Our agents are trained on the operational logic of industries we've been embedded in for over a decade, not on generic enterprise patterns.

The Full Stack — Connected

Our agents sit between Infarsight Data Engineering and Product Engineering. They receive decision-ready signals and execute into operational platforms, all built by us, all connected.

Governance Built In From Day One

Human-in-the-loop controls, explainability, audit trails and drift monitoring are designed into every agent we build, not added after a governance review flags a risk.

What is Agentic AI

An Agentic AI system doesn't
just process data.

It perceives a situation, reasons across available context, decides on an action and executes, or escalates when human judgment is needed.

01 PERCEIVE

Ingests real-time signals

From operational systems, events, anomalies, thresholds and alerts, the moment they occur.

02 REASON

Applies LLM-powered reasoning

Across context, rules, constraints and operational goals, not hard-coded IF/THEN logic.

03 DECIDE

Selects the optimal action

From available options, or flags for human review when the decision requires judgment.

04 ACT

Executes in connected systems

Booking, dispatch, notification, reroute, alert, the decision lands in production, not a report.

5 Service Lines

Each service line has defined inputs,
reasoning models and measurable outputs.

SERVICE LINE 01

Agent Design & Orchestration

Designing the agents, orchestration layer and tool ecosystem that powers autonomous operational decision-making.

LangChain / LangGraphAzure OpenAIAutoGenSemantic KernelOpenAI Assistants API
What we deliver
  • Single & multi-agent architectures
  • Agent role & responsibility design
  • Tool and API integration layer
  • Prompt engineering & LLM selection
  • Orchestration framework design
  • Agent-to-agent communication protocols
Business outcomes
  • Agents that handle real operational decisions
  • Reduced manual coordination overhead
  • Scale decision capacity without headcount
  • Faster response to operational exceptions
  • Foundation for autonomous operations
SERVICE LINE 02

Decision Intelligence

Encoding operational knowledge into agents that make the right call, consistently, at the speed the operation demands.

Azure OpenAILangGraphVector databasesRetrieval-Augmented Generation
What we deliver
  • Decision model design
  • Policy & constraint encoding
  • Contextual reasoning across multiple systems
  • Closed-loop action triggers
  • Scenario simulation & outcome weighting
How it works
  • Signal detected in operational system
  • Agent pulls live context across systems
  • LLM weighs options against constraints
  • Decision executed or escalated to human
SERVICE LINE 03

Human-in-the-Loop Systems

Keeping humans in control where it matters most. Agentic AI without human oversight is a risk, but human oversight without design is a bottleneck.

Escalation designConfidence thresholdsAudit trailsOverride controls
What we deliver
  • Escalation framework design
  • Confidence thresholds & override controls
  • Feedback & retraining loops
  • Full audit trail, every decision, logged and explainable
The control spectrum
  • AUTO — Agent decides & acts for high-confidence, low-risk decisions
  • CONFIRM, Agent proposes, human approves in one click
  • HUMAN, Agent surfaces options; human makes final call on high-stakes decisions
SERVICE LINE 04

Agent Ops & Governance

Keeping agents reliable, transparent and compliant, in production, over time. Governance is not an afterthought; it is designed into every agent we build from day one.

LangSmithAzure AI StudioMLflowArize / Whylabs
What we deliver
  • Agent monitoring & alerting dashboards
  • Explainability, full reasoning chain logged per decision
  • Compliance & audit trails
  • Model drift detection & retraining triggers
Why it matters
  • Anomalies surface before operations are impacted
  • Every decision queryable by regulators or auditors
  • Agent behaviour stays aligned with business intent
  • Production AI that builds trust over time
SERVICE LINE 05

Operational Integration

Connecting agents to the systems they need to perceive, decide and act, without replacing the infrastructure already in place.

ERP / CRM connectorsAction execution APIsEvent stream ingestionIoT & sensor feeds
The three layers
  • Data Layer, Data Engineering pipelines provide decision-ready signals to the agent
  • Agent Layer, Agentic AI practice handles perception, reasoning, decision and escalation routing
  • Action Layer, Product Engineering platforms execute the agent's decisions in production
What we connect
  • Booking & reservation systems
  • Dispatch & scheduling platforms
  • Notification & communications
  • Workflow & task management systems
  • IoT, telemetry & sensor feeds
Technology ecosystem

Model-agnostic, architecture-driven.

We are not tied to any single AI provider. We select foundation models, frameworks and retrieval systems based on the decision context, latency requirements and governance needs of each use case.

FOUNDATION MODELS
  • Azure OpenAI / GPT-4o
  • Anthropic Claude
  • Mistral / Llama
  • Google Gemini
AGENT FRAMEWORKS
  • LangChain / LangGraph
  • Microsoft AutoGen
  • Semantic Kernel
  • OpenAI Assistants
MEMORY & RETRIEVAL
  • Azure AI Search
  • Pinecone
  • pgvector
  • Redis Vector
OPS & GOVERNANCE
  • LangSmith
  • Azure AI Studio
  • MLflow
  • Arize / Whylabs
Industry application

Agentic AI Decision Systems Purpose-Built for
Travel, Ports, Mobility and Airlines.

Travel & Hospitality

  • Disruption management agent — auto-rebook, reroute & rehouse at scale
  • Guest services agent, resolves complaints, upgrades and loyalty queries
  • Revenue management agent, triggers dynamic pricing in real time
  • Crew & resource agent, rebalances assignments to schedule changes

Ports & Logistics

  • Berth conflict agent — resolves scheduling conflicts before they impact ops
  • Gate management agent, optimises container flow by dwell time & priority
  • Customs & compliance agent, flags clearance risks before vessels berth
  • Port throughput agent, reallocates resources during anomalies & peak load

Fleet & Mobility

  • Predictive maintenance agent — predicts failures from telemetry before breakdowns
  • Dispatch optimisation agent, reallocates fleet by demand, health & SLA
  • EV charging agent, manages charging schedules & fault resolution at scale
  • Driver safety agent, monitors behaviour and triggers interventions

Airlines

  • Operations control agent — manages turnaround conflicts & gate assignments
  • Passenger disruption agent, handles rebooking, hotels & comms end-to-end
  • Crew management agent, rebalances pairings after delays & cancellations
  • Revenue agent, triggers pricing, upgrade & overbooking actions
Client outcomes

Measurable Results from
Infarsight Agentic AI Programmes.

10×

Decision Speed

Operational decisions that previously took 20–60 minutes are executed by agents in under 2 minutes, across disruption, dispatch and scheduling workflows.

−80%

Manual Coordination

Agents handle the volume of operational exceptions that previously required coordinator intervention, freeing teams for judgment-intensive work.

95%

TripSight Resolution Rate

TripSight — Infarsight's proprietary travel operations accelerator, resolves 95% of passenger disruption cases without human involvement.

Near-zero

Decision Latency

Continuous agent operation eliminates the wait time between operational event and corrective action, the gap where cost and customer impact accumulate.

How we engage

The Agentic AI workflow.

From operational decision problem to production AI agent, in a governed, risk-managed process.

01

Discover

Decision mapping workshop, agent candidate scoping, data & signal audit, risk & governance brief. 1–2 weeks.

02

Design

Agent architecture, decision boundary definition, HITL framework design, tool & API mapping. 2–3 weeks.

03

Build

Agent development, integration delivery, sandbox testing, HITL workflow build. 4–10 weeks.

04

Operate

Decision monitoring, escalation management, quality scoring, governance reporting. Ongoing.

05

Evolve

Decision scope expansion, agent retraining, new integrations, performance optimisation. Continuous.

Also see: Data Engineering — what feeds the agents →  |  DecisionSight accelerator →  |  Decision Intelligence Systems →

Ready to close the decision gap?

We start with a Decision Mapping Workshop, identifying the highest-value operational decisions in your business, mapping the signals available and designing the first agent use case.

01 Decision Mapping Workshop
02 Agent Architecture & Governance Design
03 Pilot Agent Build & Deployment
Services
Intelligent Automation · 200+ programs · 10+ years

Intelligent Automation Services:
Operational Processes That Run Themselves.

Infarsight Intelligent Automation builds the execution layer, automating the structured, repeatable processes that consume operational capacity through RPA, workflow orchestration and AI-augmented processing, so your teams focus on what only humans can do.

What is Intelligent Automation?

Intelligent automation combines RPA, AI-augmented processing and system integration to automate the structured, high-volume operational processes that consume team capacity. It goes beyond rules-based scripting, handling unstructured inputs, managing exceptions intelligently and orchestrating workflows across enterprise systems without manual handoffs.

TaskSight Accelerator UiPath · Power Automate · Appian AI-Augmented Architecture Architecture-Led Estate
200+
Automation programs delivered
6 hrs
Saved per teammate per day
−85%
Manual processing time
Process throughput vs manual baseline
The problem

The manual process tax.

Every hour your teams spend on repetitive, structured tasks is an hour not spent on the work that moves the business.

High-Volume, Low-Value Work

Invoicing, reconciliation, report generation, data entry, status updates, essential but mechanical. They consume headcount that should be focused on operational performance.

Process Errors Are a Cost Centre

Manual processes introduce errors at scale. A missed field, a wrong value, a delayed update, each one creates downstream rework, compliance risk and customer impact.

Systems Don't Talk to Each Other

Data trapped in one system that needs to be in three others. Integration gaps are filled by people doing manual re-entry, creating latency, errors and invisible dependencies.

Scaling Means Scaling Headcount

When process volume grows, the default response is to hire. Organisations that haven't automated structured processes are forced to grow teams linearly with operational demand.

Why Infarsight

Architecture-led. AI-augmented.
Connected to the full stack.

Operations, Not Generic Processes

Our automation programmes are built around the workflows of Travel, Ports and Mobility. We understand the exceptions, the edge cases and the integration complexity of these industries.

A Connected Estate, Not a Tool Collection

We design automation as a managed programme with a coherent architecture. Every bot, workflow and integration connects into a governed estate, not a patchwork of point tools that degrade independently.

AI-Augmented Where Rules Don't Reach

When processes involve unstructured inputs, classification decisions or judgment-based exceptions, we layer in AI. Intelligent Automation handles more than basic bots.

IA Connects Data, AI and Operations

Our automations receive signals from Data Engineering and execute decisions from Agentic AI, making Intelligent Automation the action layer of a fully connected operational system.

5 Service Lines

Each practice line has defined inputs,
automation patterns and measurable outputs.

SERVICE LINE 01

Process Discovery & Design

Identifying the right processes to automate, and designing automations that are built to last. Invest in the right automations first, avoid low-ROI tool deployments.

UiPath Process MiningCelonisMiroCustom ROI modelling
What we deliver
  • Process mining, task capture and end-to-end process maps
  • Automation candidate scoring matrix with ROI and effort modelling
  • Automation architecture blueprint and phased delivery roadmap
  • Architecture decision records and build vs buy vs configure evaluation
How we do it
  • Workshops with ops and finance teams
  • Shadow sessions and screen recording for accurate process capture
  • Process exception catalogue and complexity analysis
  • Stakeholder alignment on scope before a bot is built
SERVICE LINE 02

RPA & Workflow Automation

Building bots and workflows that execute structured, repeatable processes, reliably, at scale, without human involvement.

UiPathMicrosoft Power AutomateAzure Logic AppsAutomation AnywhereBlue Prism
What we deliver
  • Attended automation, bots that work alongside your team, triggered by an operator, completing high-volume sub-tasks while the human handles judgment
  • Unattended automation, fully autonomous bots running on schedule or trigger for end-to-end processes with no human involvement
  • Workflow orchestration, multi-step, multi-system workflows with tasks, approvals, escalations and notifications managed centrally
  • Exception handling, every automation includes designed retry logic, escalation queues and failure notifications
Business outcomes
  • Processes run 24/7 without human scheduling
  • Error rates near-zero vs manual baseline
  • 3× process throughput on automated workflows
  • Exceptions caught, escalated and resolved without silent failures
SERVICE LINE 03

AI-Augmented Processing

Adding intelligence to automation, handling the unstructured inputs, exception judgments and classification decisions that rules-based bots cannot.

Azure AI Document IntelligenceOpenAI GPT-4oAzure Cognitive ServicesUiPath Document Understanding
Where rules-based automation stops
  • Unstructured inputs, emails, PDFs, scanned documents, voice
  • Variable formats, invoices, contracts, claims with no fixed schema
  • Classification decisions, routing, categorisation, sentiment analysis
  • Exceptions requiring interpretation, not just retry logic
What AI adds
  • Intelligent Document Processing, extract structured data from invoices, contracts and claims regardless of format
  • AI Classification & Routing, route emails and tickets to the right queue based on intent, not keywords
  • Unstructured Data Extraction, pull fields from free-text inputs, emails and forms
  • Confidence-Based Escalation, when AI confidence is below threshold, route to human review automatically
SERVICE LINE 04

System Integration & Data Flows

Eliminating manual data movement between systems, so information flows automatically to where it's needed, when it's needed.

Azure API ManagementMuleSoftAzure Logic AppsEvent Grid
What we deliver
  • API and ERP connectivity across operational and back-office systems
  • Event-driven data pipelines for real-time system synchronisation
  • Bi-directional sync and master data propagation across platforms
  • ETL automation eliminating nightly manual data loads
Business outcomes
  • Data in every system stays current without manual re-entry
  • Cross-system data sync, bookings, inventory and status propagated automatically
  • Exception flagging, data quality anomalies detected and routed for resolution
  • Operational latency eliminated at the integration layer
SERVICE LINE 05

Automation Ops & Governance

Keeping the automation estate reliable, improving and compliant, in production, over time. A patchwork of unmonitored bots is not an automation programme.

UiPath OrchestratorAzure MonitorPower BICompliance audit trails
What we deliver
  • Bot monitoring, alerting and SLA exception reporting dashboards
  • Compliance audit trails, every bot run logged and queryable
  • Continuous improvement cycles, performance reviewed and optimised quarterly
  • Exception queue management and human escalation tracking
Business outcomes
  • Near-zero silent failure rate across the automation estate
  • Exceptions caught, escalated and resolved before they impact operations
  • Automation ROI tracked and reported against baseline metrics
  • Estate scales with new processes without degrading existing ones
Solution Accelerator

TaskSight

Infarsight's purpose-built automation accelerator — a configurable platform that orchestrates task-level automation across operational teams, with built-in monitoring, exception handling and human-in-the-loop controls.

6 hrs
Saved per teammate per day
~6 wks
Average deployment time
Built-in
Exception handling & human-in-the-loop
Travel
Mobility · Ports · Airlines
Industry application

Intelligent Automation Purpose-Built for
Travel, Ports, Mobility and Airlines Operations.

Travel & Hospitality

  • Guest service and disruption task routing, automated across booking, comms and ops teams
  • Invoice reconciliation and supplier payment automation
  • Booking confirmation and itinerary distribution workflows
  • Shift handover reports compiled and distributed without manual preparation

Ports & Logistics

  • Gate, berth and documentation workflows automated end-to-end
  • Customs clearance status tracking and stakeholder notification
  • Container dwell time reporting and SLA breach alerts
  • Cross-system data sync across port management, ERP and CRM

Fleet & Mobility

  • Maintenance task scheduling and work order generation from telemetry signals
  • Driver compliance and documentation workflows automated at scale
  • Dispatch and route change notifications propagated across systems
  • Resource allocation updates across scheduling, payroll and ops systems

Airlines

  • Turnaround task coordination and ground handling workflows
  • Passenger disruption comms and rebooking status updates
  • Crew documentation and regulatory compliance automation
  • SLA breach alerts, detection, escalation and stakeholder notification
Client outcomes

Measurable Results from
Infarsight Intelligent Automation Programmes.

6 hrs

Saved Per Teammate Daily

Operational teams running TaskSight recover an average of 6 hours per person per day, redirected from manual task execution to operational performance.

−85%

Manual Processing Time

Invoice, reconciliation and reporting processes that previously took hours are completed by bots in minutes, with higher accuracy and full audit trails.

Near-zero

Silent Failure Rate

Automation estates with active ops and governance programmes maintain near-zero silent failure rates, exceptions are caught, escalated and resolved before they impact operations.

Process Throughput

Automated processes consistently deliver 3× the throughput of the manual equivalent, with consistent quality across 100% of volume.

How we engage

The intelligent automation workflow.

From process audit to a governed, continuously improving automation estate.

01

Assess

Process audit, automation opportunity mapping, ROI scoring and phased roadmap. 1–2 weeks.

02

Design

Architecture blueprint, automation design, exception path mapping, integration model. 2–3 weeks.

03

Build

Bot development, integration delivery, AI augmentation where needed, UAT and sign-off. 4–8 weeks.

04

Operate

24/7 monitoring, exception management, SLA reporting and continuous improvement. Ongoing.

05

Expand

New process onboarding, estate scaling, AI capability expansion and quarterly ROI review. Continuous.

Also see: TaskSight accelerator →  |  Agentic AI — the decision layer above automation →  |  Data Engineering — what feeds the automation signals →

Ready to eliminate the manual process tax?

We start with a Process Audit & Automation Opportunity Assessment, mapping your highest-volume manual processes, scoring them for automation ROI and prioritising the first wave of delivery.

01 Process Audit & Opportunity Assessment
02 Automation Architecture & Roadmap
03 Pilot Build & Measured ROI
Services
Product Engineering · 10+ years · 30+ enterprise platforms

Product Engineering Services:
Enterprise Systems Built to Perform.

Infarsight Product Engineering builds, modernises and operates the software platforms that power enterprise operations, on Azure, AWS and modern cloud infrastructure. We measure engineering success in operational performance and uptime, not features shipped.

What is Enterprise Product Engineering?

Enterprise product engineering is the practice of designing, building and operating the software platforms that power business operations, not as standalone projects, but as embedded, continuously maintained systems. It combines architecture design, AI-accelerated development, reliability engineering and platform operations into a single accountable capability.

Microsoft Solutions Partner Databricks Partner Optimizely Partner Reliability-First AI-Augmented SDLC
10+
Years of engineering delivery
30+
Enterprise platforms built & operated
99.9%
Target uptime on critical systems
Faster release velocity post-modernisation
Why Infarsight for Product Engineering

We build for what comes
after go-live.

Built for What Comes After Go-Live

Every platform we build is designed to be operated, maintained and evolved. Reliability, observability and BAU ownership are part of the brief, not an afterthought.

Operational Context, Not Just Technical Delivery

Our engineers understand Travel, Ports and Mobility deeply. They build systems aligned to how operations work, not how a requirements document described them.

Embedded, Long-Term Engineering Partnership

We don't hand over and leave. We embed into your teams and stay accountable for the systems we build, tracking their performance and evolving them as the business changes.

Systems That Connect to the Full Stack

Our delivery accelerators connect directly to data, automation and agentic AI layers. Product Engineering isn't isolated, it's the execution layer of a broader operational system.

5 Service Lines

Each practice line has defined inputs,
activities and measurable outputs.

SERVICE LINE 01

Platform Design

Designing platforms built for operational purpose, not just technical correctness. Systems that align to how operations actually work.

FigmaOpenAPIAzure API ManagementMiroADRs
What we deliver
  • Operational platform scoping & service design
  • UX design & API-first architecture
  • Domain modelling & MVP prototype delivery
  • Stakeholder alignment workshops & architecture decision records
Business outcomes
  • Platforms aligned to real operational workflows
  • Faster time to working software
  • Lower rework from misaligned specs
  • API ecosystem ready for integration from day one
SERVICE LINE 02

Architecture Modernisation

Moving legacy monoliths to scalable, maintainable architectures, without halting operations or gambling on a big-bang rewrite.

.NET / Java / KotlinAzure / AWSKubernetesEvent Grid / KafkaGitLab CI/CD
Legacy architecture problems
  • Monolithic codebase, one change breaks everything
  • No test coverage, every release is a risk
  • On-premise infrastructure with no elasticity
  • Point-to-point integrations between every system
  • Undocumented and understood by one person
Modernised architecture
  • Domain-driven services — change without fear
  • Test coverage at unit, integration and contract level
  • Cloud-native with auto-scaling and DR built in
  • Event-driven integration via APIs and message queues
  • Documented, observable and team-owned
SERVICE LINE 03

Reliability Engineering

Designing systems that perform under operational pressure, and recover fast when they don't. Reliability is designed in, not tested in.

Azure MonitorApplication InsightsGrafanak6 / GatlingPagerDuty
What we deliver
  • SLA & uptime design, error budgets and SLO frameworks before a line of code is written
  • Load & failure testing, stress, chaos engineering and failure mode analysis before production
  • Observability & alerting, distributed tracing, structured logging, real-time dashboards
  • Incident response design, runbooks, escalation paths and automated remediation
Business outcomes
  • 99.9% uptime on operationally critical workflows
  • Team knows about issues before users do
  • Mean time to recovery engineered, not improvised
  • 70% reduction in production incidents post-stabilisation
SERVICE LINE 04

BAU Stabilisation

Keeping live systems healthy, stable and continuously improving, long after the delivery team has left.

Production supportPerformance monitoringTech debt reduction
What we deliver
  • Production support, embedded engineers on call for rapid triage, fix and deploy
  • Bug triage & resolution with SLA-based timescales
  • Continuous performance monitoring with threshold-based alerting
  • Planned refactoring sprints that reduce tech debt and improve velocity
What happens without BAU ownership
  • Performance degrades silently, users complain before the team knows
  • Bug backlog grows unchecked, stability erodes month by month
  • Tech debt compounds, every new feature takes longer to ship
  • Knowledge dies with the delivery team
SERVICE LINE 05

Incremental Evolution

Continuously improving live platforms so they grow with the business, without disruptive rebuilds. The alternative to incremental evolution is a costly rebuild every 3–4 years.

Sprint deliveryFeature flagsBacklog engineeringRefactoring
What we deliver
  • Sprint-based capability releases with feature flags for safe rollouts
  • Structured backlog prioritisation with effort-impact scoring
  • Modularisation, test coverage uplift and security patching
  • Capability expansion, new integrations, personas, APIs and roadmap co-creation
Business outcomes
  • 60% reduction in time from idea to live feature
  • 3× faster release velocity after architecture modernisation
  • No costly big-bang rebuilds every 3–4 years
  • Platforms that grow with the business continuously
AI-Augmented Engineering

AI accelerates every phase
of the engineering lifecycle.

From requirements capture to production operations, AI is woven across the full SDLC, reducing effort, accelerating delivery and improving quality at every stage.

01 BRD

Business Requirements

  • AI auto-generates BRD drafts from interview transcripts
  • NLP extracts and ranks requirements from emails and tickets
  • AI flags missing acceptance criteria and contradictions
  • Automated feasibility scoring and dependency mapping
Time saving: 40–60%  |  Productivity gain: 50%
02 TECH DESIGN

Architecture & Planning

  • AI proposes architecture patterns from BRD requirements
  • Automated ADR drafting from design discussions
  • AI-driven API contract and schema generation
  • Tech stack recommendation engine scoring fit and cost
Time saving: 30–50%  |  Productivity gain: 40%
03 UX DESIGN

User Experience

  • AI generates wireframes and prototypes from user stories
  • Automated user journey mapping from analytics data
  • WCAG accessibility compliance scan on every iteration
  • Multi-variant A/B design generation for critical flows
Time saving: 35–55%  |  Productivity gain: 45%
04 CODING

Development

  • AI pair programming reduces boilerplate by 30–50%
  • AI-assisted PR reviews flagging security and quality issues
  • Automated code refactoring suggestions inline
  • AI-generated unit tests alongside code completion
Time saving: 30–50%  |  Productivity gain: 55%
05 TESTING

Quality Assurance & Self-Healing QA

  • 60–80% AI-generated test coverage from code changes
  • Self-healing tests detect, diagnose and repair themselves when the application changes, eliminating maintenance toil
  • AI failure classifier distinguishes real defects from test maintenance issues (flaky locators, stale fixtures, env drift)
  • Synthetic load generation with AI-driven scenario authoring and anomaly detection
  • Test maintenance effort reduced by 60–80% through autonomous repair
TestimmablApplitoolsHealeniumPlaywright
Time saving: 50–70%  |  Manual QA effort reduction: 60–80%
06 PRODUCTION

Release & Operations

  • AI-assisted deployment pipelines with rollback intelligence
  • Anomaly detection surfaces regressions before production exposure
  • AI-driven incident classification and automated runbook execution
  • Continuous monitoring with AI root cause analysis
  • 2× improvement in release cadence through AI-optimised pipelines
HarnessDatadogPagerDutyAzure DevOps
Time saving: 40–60%  |  Productivity gain: 50%
Overall AI-Augmented SDLC impact, indicative benchmarks
Actual savings vary by org size, stack & AI maturity
35–60%
Overall time saving
45–65%
Productivity improvement
40–55%
Defect escape reduction
6 phases
AI-powered across full SDLC
Technology ecosystem

Architecture-driven selection.

We choose what is right for your operational context, not what is convenient. Technology choices are made to serve the system's reliability and operational requirements.

LANGUAGES & RUNTIMES
  • Kotlin
  • Java
  • .NET / C#
  • Python
  • Swift
CLOUD & INFRA
  • Microsoft Azure
  • AWS
  • Kubernetes
  • Terraform
INTEGRATION
  • Azure API Management
  • Apache Kafka
  • Event Grid
  • MuleSoft
QA & RELIABILITY
  • Playwright
  • k6 / Gatling
  • Grafana
  • Azure Monitor
Industry application

Purpose-Built Platforms for Travel,
Ports, Mobility and Airlines Operations.

Travel & Hospitality

  • Booking & reservation platform modernisation, legacy PSS to cloud-native
  • Hotel operations platform, housekeeping, maintenance & guest service automation
  • Disruption management system, auto-rebook, re-route and re-accommodate at scale
  • Revenue management platform integration with real-time demand signals

Ports & Logistics

  • Berth scheduling and port operations platform with real-time conflict resolution
  • Gate management system, sensor + ERP integration for throughput automation
  • Container tracking and dwell time platform with predictive staging logic
  • Port command center, unified operational view across all port systems

Fleet & Mobility

  • Fleet dispatch platform — predictive scheduling from vehicle telemetry
  • EV network management, charging state, fault resolution & demand forecasting
  • Driver and route management platform with real-time optimisation
  • Fleet command center, live health, utilisation and SLA dashboards

Airlines

  • Airline operations control platform — disruption handling and crew re-planning
  • Ground operations system, turnaround, gate assignment and crew allocation
  • Passenger services platform, disruption comms, rebooking and compensation
  • Revenue and yield management platform integration with live sales data
Client outcomes

Measurable results from
Infarsight Product Engineering engagements.

−60%

Time to New Capability

Moving from big-bang project cycles to continuous delivery reduces time from idea to live feature by 60%.

99.9%

Uptime on Critical Systems

Platforms redesigned with SRE principles consistently achieve 99.9%+ uptime on operationally critical workflows.

−70%

Production Incidents

BAU stabilisation programmes reduce live incidents by up to 70% within two quarters of embedded engineering ownership.

Release Velocity

Teams shipping from modernised, cloud-native architectures release 3× faster with significantly lower rollback rates.

How we engage

The product engineering workflow.

From operational problem to production system, in a repeatable, governed process.

01

Discover

Platform & systems audit, stakeholder interviews, operational pain mapping, architecture assessment. 1–2 weeks.

02

Design

Platform architecture, API contract design, data & integration model, reliability framework. 2–4 weeks.

03

Build

Iterative engineering sprints, integration delivery, QA & test automation, performance testing. 6–16 weeks.

04

Operate

BAU support & monitoring, incident management, performance tuning, stakeholder reporting. Ongoing.

05

Evolve

Backlog engineering, refactoring cycles, new capability delivery, architecture reviews. Continuous.

Also see: Agentic AI — the decision layer your platforms execute →  |  Data Engineering — what feeds your platforms →  |  Platform Ops & Governance →

Ready to build systems that perform?

We start with a Platform & Systems Assessment, mapping your current architecture, identifying reliability risks, modernisation opportunities and the highest-value engineering investments.

01 Platform & Systems Assessment
02 Architecture & Reliability Workshop
03 Pilot Build or Proof of Concept
Services
Platform Ops & Governance · 99.9% uptime · 24/7 monitoring

Platform Operations & Governance:
The Foundation Every AI Capability Depends On.

Infarsight Platform Ops & Governance is the foundation layer, it doesn't sit above data, AI or automation. It sits beneath all of them, enabling every capability to perform at the level the business requires.

What is Platform Operations and Governance?

Platform operations and governance is the ongoing engineering discipline of keeping cloud infrastructure, AI systems and data pipelines reliable, secure and cost-efficient in production. It covers observability, incident response, security compliance, FinOps and DevSecOps, ensuring the platforms enterprise operations run on maintain 99.9% uptime and remain auditable at all times.

ISO 27001:2018 Azure · AWS · GCP Databricks Partner Microsoft Fabric DevSecOps
99.9%
Target uptime SLA
24/7
AI-assisted monitoring & alerting
<15m
P1 incident response time
<2hr
Mean time to resolve
The foundation layer

Platform Ops sits beneath everything.

Every capability built on the platform performs as designed, continuously, securely and at the scale operations demand.

DATA ENGINEERING
Decision-ready signals from operational sources
Data Engineering Practice →
AGENTIC AI
Reasoning and decision layer
Agentic AI Practice →
INTELLIGENT AUTOMATION
Execution and process automation layer
Intelligent Automation Practice →
PLATFORM OPS & GOVERNANCE
Cloud · Observability · Security · FinOps · DevOps
Foundation Layer
Why Infarsight

We govern the platform,
and every capability built on it.

We Govern the Platform, Not Just the Servers

We don't just keep servers running. We govern the full platform layer that data, AI and automation depend on, measuring success in capability uptime, not infrastructure availability.

Governance Designed In — Not Retrofitted

Security, compliance, observability and FinOps governance are designed into every platform from day one. We have seen what happens when they are added after the fact, and we don't let it happen.

Continuous Oversight Across the Platform

From infrastructure to data and AI platforms, we maintain constant visibility into health, performance, cost and compliance, ensuring issues are detected early and governance stays enforced.

Platform Is the Foundation for Everything Else

Our Platform Ops practice connects directly to Data Engineering, Agentic AI, Intelligent Automation and Product Engineering. We govern the layer that makes all of them possible.

5 Service Lines

Each practice line has defined inputs,
operational disciplines and measurable platform outcomes.

SERVICE LINE 01

Cloud Infrastructure & Operations

Designing and operating the cloud infrastructure that data pipelines, AI agents and automation platforms depend on, reliable, scalable and resilient.

AzureAWSTerraform / BicepKubernetes (AKS / EKS)Azure Site Recovery
What we deliver
  • Multi-cloud architecture (Azure / AWS) with Infrastructure as Code
  • Auto-scaling, load balancing and DR design with failover testing
  • Capacity planning, forecasting and environment standardisation
  • Immutable infrastructure, drift detection and automated remediation
Business outcomes
  • 99.9%+ uptime on critical platforms with no single points of failure
  • Infrastructure that scales with operational demand automatically
  • Recoverable within defined RTO/RPO in any failure scenario
  • Consistent environments across dev and production
SERVICE LINE 02

Platform Observability

Full-stack visibility across infrastructure, data pipelines, AI agents and automation, so issues are detected and resolved before they impact operations.

Azure MonitorApplication InsightsGrafanaDatadogOpenTelemetryPagerDuty
What we deliver
  • Metrics & dashboards, real-time dashboards across every layer with SLA and SLO tracking for every capability
  • Logs & tracing, structured logging and distributed tracing across all services; root cause traceable in minutes
  • Alerting & runbooks, threshold-based alerting with defined escalation paths and automated remediation
  • Capability health scoring, is the data fresh? Are agents deciding correctly? Are bots processing within SLA?
Business outcomes
  • Team knows about platform issues before users do
  • Root cause traceable in minutes, not days
  • Alerts carry context, not a wall of noise
  • Operational health measured in outcomes, not just infrastructure uptime
SERVICE LINE 03

Security & Compliance Governance

Keeping the platform secure, compliant and audit-ready, with governance designed in from the start, not retrofitted after an incident.

ISO 27001:2018ISO 9001:2015Azure SentinelDefender for CloudSOC 2 Readiness
Security capabilities
  • Identity & Access Management, Azure AD, RBAC, PIM, conditional access and zero-trust network policy
  • Security Posture Management, Defender for Cloud, secure score tracking, continuous configuration assessment
  • Policy-as-Code Enforcement, Azure Policy, Sentinel, automated remediation of policy violations at scale
  • Incident Response Design, playbooks, SIEM integration and tabletop exercises for security incident readiness
Compliance framework
  • ISO 27001:2018 — Information Security Management
  • ISO 9001:2015 — Quality Management with documented processes and audit trails
  • ISO 14001:2015 — Environmental Management and responsible cloud usage
  • SOC 2 Readiness, controls mapping and evidence collection for customer-facing compliance
SERVICE LINE 04

FinOps & Cost Governance

Keeping cloud spend aligned to business value, with visibility, accountability and continuous optimisation built into the platform operating model.

Azure Cost ManagementCloudHealthApptio CloudabilityPower BI FinOps dashboards
The four disciplines
  • Inform, full cloud cost visibility tagged by team, service, environment and capability
  • Optimise, rightsizing, reserved capacity, spot instances and waste elimination across the estate
  • Operate, budget alerting, anomaly detection and monthly FinOps review with engineering leads
  • Govern, tagging policies, spend thresholds and approval gates for new resource provisioning
Business outcomes
  • Cloud cost aligned to operational value, not arbitrary budgets
  • Waste detected and eliminated continuously, not at year-end
  • Engineering teams have cost visibility at the service level
  • No surprise cloud bills, anomalies surface before they compound
SERVICE LINE 05

Platform Engineering & DevOps

Building the developer platform, delivery pipelines and engineering standards that make every Infarsight capability faster, safer and more consistent to deploy.

GitHub ActionsAzure DevOpsGitLab CI/CDDockerSonarQubeDevSecOps
What we deliver
  • CI/CD pipeline design, automated build, test, security scanning and deployment with quality gates at every stage
  • Internal Developer Platform, self-service IDP giving teams on-demand access to provisioned environments and approved tooling
  • Environment & release management, blue/green deployments, feature flags and automated rollback
  • Platform standards & templates, golden paths for data pipelines, AI agent runtimes and automation bots
Business outcomes
  • Every capability deployed consistently from day one
  • Releases de-risked with automated rollback capability
  • Engineering teams not waiting for ops tickets to get environments
  • Security scanning and quality gates enforced at every deployment
Service outcomes

What a governed platform delivers.

99.9%

Uptime on Critical Platforms

Platforms governed with SRE principles consistently achieve 99.9%+ uptime on operationally critical workflows across data, AI and automation layers.

Near-zero

Silent Failures

Full-stack observability means platform issues surface and are resolved before users or operational workflows are impacted.

Designed in

Security & Compliance

ISO 27001, 9001 and 14001 certified. SOC 2 readiness. Governance designed from day one, not retrofitted after an incident or audit finding.

Aligned

Cloud Spend to Value

FinOps discipline keeps cloud costs visible and optimised. Waste eliminated continuously, not discovered at budget review.

How we engage

The platform ops workflow.

From current-state assessment to a continuously governed, observable and secure platform estate.

01

Assess

Well-Architected Framework review, current-state audit, security posture assessment, FinOps baseline. 1–2 weeks.

02

Design

Target architecture, observability framework, security controls design, FinOps governance model. 2–3 weeks.

03

Implement

IaC provisioning, observability tooling, CI/CD pipelines, security controls, FinOps tagging. 4–8 weeks.

04

Operate

24/7 monitoring, incident management, security governance, monthly FinOps review. Ongoing.

05

Optimise

Cost rightsizing, platform evolution, new capability onboarding, quarterly governance review. Continuous.

Also see: Data Engineering — what runs on the platform →  |  Agentic AI — the agents the platform hosts →  |  Product Engineering — systems built to run on it →

Ready to govern your platform estate?

We start with a Well-Architected Platform Assessment, reviewing your current infrastructure, observability gaps, security posture and FinOps baseline.

01 Well-Architected Assessment
02 Governance & Observability Design
03 Platform Stabilisation Program
Services
Integration Services

Enterprise Integration Services:
Every System. Every Protocol. Every Pattern.

Deep integration capability across Travel, Hospitality and Mobility, connecting GDS, PMS, NDC, IoT, SCADA and every system in between through API-native, RPA and batch-driven patterns. Infarsight builds, monitors and maintains every integration.

Microsoft Solutions Partner Bosch Mobility Partner 50+ Integration Patterns API-Native First Zero Data Loss Tolerance

What is Enterprise Integration Services?

Enterprise integration services connect the disparate systems, protocols and data sources that enterprise operations run on, GDS, PMS, ERP, IoT devices, SCADA systems and supplier APIs, into a single, observable data flow. For agentic AI and intelligent automation to work, the integration layer must be reliable, maintained and built to evolve. Infarsight treats integration as an engineering discipline, not a one-time project.

The Integration Challenge

Integration Is Where AI Projects Fail.

The intelligence layer is only as good as the data that feeds it. In Travel, Hospitality and Mobility, that data lives across dozens of systems, none of which were designed to talk to each other.

Protocol Fragmentation

GDS APIs speak SOAP. NDC speaks XML. Hotel CRS systems use proprietary REST. Mobility infrastructure runs MQTT and SCADA protocols from a different era. A typical enterprise stack spans 15 or more distinct protocols.

15+
distinct protocols across a typical enterprise stack

No-API Gaps

A significant portion of supplier systems, particularly in hospitality and mid-market travel, offer no API. Data exists only in email inboxes, web portals, flat files and legacy databases. These gaps break automation unless addressed directly.

40%
of enterprise integrations require non-API approaches

Constant Change

Amadeus releases API updates quarterly. Airlines pivot to NDC on their own schedule. IoT device firmware changes break data schemas. An integration built today must be maintained, monitored and adapted continuously, not just at build time.

Ongoing
maintenance, monitoring and adaptation required
Our Approach

Four Principles Behind Every Integration We Build.

01

API-Native First

Every integration starts with the best available API, REST, SOAP, GraphQL or gRPC. We implement to the full depth of the specification, not just the fields a UI exposes. Schema validation, error handling and retry logic are built in from day one.

REST · SOAP · GraphQL · gRPC · Webhooks · OAuth 2.0 · mTLS
02

Non-API Patterns When Needed

Where no API exists, we do not stop. RPA-driven browser automation, SFTP batch file exchange, database direct-read and email parsing are all part of the toolkit, with the same observability standards applied as any API integration.

RPA · Email parsing · SFTP · Flat file (CSV, XML, JSON) · DB direct · OCR
03

Observable by Default

Every integration produces structured logs. Every API call is traced. Every failure is categorised, transient, permanent or schema-mismatch, and routed to the appropriate response. Integration health is monitored in real time, not discovered at incident time.

Structured logging · Distributed tracing · Dead letter queues · SLA dashboards
04

Built to Evolve

API versions change. Supplier systems are replaced. Data schemas drift. Every integration is versioned, documented and designed with a change-management path. Infarsight maintains integrations post-deployment, not just at build time.

Versioned contracts · Schema registry · Automated regression tests · Change notification
Domain Coverage

Three Domains. One Integration Capability.

Infarsight's integration capability spans the full technology stack of Travel, Hospitality and Mobility, from GDS transactions to shop-floor SCADA devices.

Travel

GDS, NDC, Airlines and Suppliers

  • GDS — Amadeus, Sabre, Travelport
  • Air — NDC Level 3 and 4, Airline PSS
  • LCC Direct — Ryanair, EasyJet, IndiGo, AirAsia
  • Hotels — channel managers, aggregators
  • CRM and Service Desk, Salesforce, Zendesk
  • Metasearch, Google, Kayak, Skyscanner
  • No-API — RPA, email parsing, batch
Hospitality

PMS, CRS, Revenue and Finance

  • PMS — Opera, Mews, Cloudbeds, Planet
  • CRS — Synxis, Pegasus, Siteminder
  • Revenue Management — IDeaS, Duetto, Atomize
  • Channel Manager — Siteminder, RateGain
  • F and B — Oracle MICROS, Lightspeed
  • Financial — SAP, Oracle Financials, Xero
  • Connectivity — HTNG, OTA XML, OHIP
Mobility

Telematics, IoT and SCADA

  • Telematics — CAN bus J1939, OBD-II, FMS
  • TCP/IP — raw socket servers, WebSocket streams
  • IoT — MQTT, CoAP, AMQP, LoRaWAN, BLE
  • SCADA — Modbus, OPC-UA, DNP3, IEC 61850
  • Cloud IoT — AWS IoT Core, Azure IoT Hub, GCP
  • Time-Series — InfluxDB, TimescaleDB, Kafka
  • Edge compute — local processing with cloud sync
Delivery Model

How Infarsight Delivers Integrations.

01
Discovery and Mapping
System audit, protocol inventory, integration gap analysis
02
Integration Design
Schema design, authentication model, error handling and SLA definition
03
Build and Test
Integration build, sandbox validation, idempotency and load testing
04
Production Deployment
Monitored rollout, alerting, SLA dashboards, runbook documentation
05
Maintain and Evolve
Ongoing monitoring, schema migration, API version management
Related Services and Solutions

Frequently Asked Questions: Integration Services

What GDS systems does Infarsight integrate with?

Infarsight integrates at full transactional depth with Amadeus, Sabre and Travelport, covering shopping, booking, ticketing, PNR lifecycle management, hotel, car and ancillary APIs. We also connect to NDC aggregators including Verteil, Duffel, AirGateway and TPConnects, and directly to major airline PSS platforms including Amadeus Altea and Navitaire.

How does Infarsight handle suppliers with no API?

Where no API exists, Infarsight deploys non-API integration patterns: RPA-driven browser automation using Playwright or Selenium, structured email parsing using NLP and template matching, SFTP and batch file exchange, flat file processing and database direct-read for legacy systems. The same observability standards apply regardless of the connectivity method, every integration is logged, traced and monitored.

Does Infarsight maintain integrations after deployment?

Yes. Infarsight treats integration as an ongoing engineering discipline, not a delivery project. Post-deployment, we monitor all integrations in real time, tracking API latency, error rates and schema drift, and manage API version migrations, supplier system changes and schema evolution as part of a continuous maintenance engagement. SLA-aligned alerting is configured at deployment and maintained throughout the engagement.

Ready to connect your entire technology stack?

We start with an integration assessment, mapping your systems, protocols and connectivity gaps across Travel, Hospitality and Mobility.

Partnerships
Microsoft Solutions Partner
Microsoft Partnership

Microsoft Solutions Partner:
Azure, Fabric, AI Foundry and Power Platform.

Infarsight is a Microsoft Solutions Partner, deploying Azure cloud infrastructure, Microsoft Fabric data platforms, Azure AI Foundry, Copilot integrations and Power Automate workflows for enterprise operations across Travel, Mobility and Logistics.

Microsoft Solutions Partner Azure Cloud Microsoft Fabric Azure AI Foundry Copilot Power Automate

What is the Infarsight Microsoft Partnership?

Infarsight is a verified Microsoft Solutions Partner with active delivery capability across the full Microsoft cloud and AI stack. This partnership gives enterprise clients access to co-engineered solutions on Azure infrastructure, Microsoft Fabric data platforms, Copilot AI integrations and Power Automate workflow automation, all delivered by Infarsight's embedded engineering teams with Microsoft-verified expertise.

Microsoft Capabilities

Five Microsoft practice areas delivered by Infarsight.

Microsoft Azure

Cloud infrastructure, platform engineering and managed services on Azure, including AKS, Azure Functions, Azure Service Bus, Cosmos DB and Azure Monitor. Infarsight architects, deploys and operates Azure environments for enterprise operational systems in Travel, Mobility and Logistics.

AKS · Azure Functions · Service Bus · Cosmos DB · Azure DevOps · Azure Monitor

Microsoft Fabric

End-to-end data platform on Microsoft Fabric, unifying data engineering, data science, real-time analytics and business intelligence in a single SaaS experience. Infarsight builds Fabric-based data foundations for operational intelligence programmes where Microsoft is the strategic data platform of choice.

Lakehouse · Dataflows · Pipelines · Real-Time Analytics · Power BI integration

Azure AI Foundry

Agentic AI and LLM-powered operational systems built on Azure AI Foundry, combining GPT-4o, Phi models and custom fine-tuned models with Infarsight's operational decision engineering. Used for travel disruption management, document intelligence, fleet dispatch reasoning and enterprise workflow automation.

Azure OpenAI · GPT-4o · Phi-3 · AI Search · Prompt Flow · RAG architectures

Microsoft Copilot

Copilot integration and Copilot Studio custom agent development for enterprise operations teams. Infarsight builds domain-specific Copilot experiences, travel booking assistants, fleet dispatch copilots and port operations intelligence, embedded within Microsoft 365 and Teams workflows.

Copilot Studio · Microsoft 365 · Teams integration · Custom agent builds · SharePoint connectors

Power Automate and Power Platform

Intelligent automation programmes built on Power Automate, connecting Microsoft 365, Dynamics 365, Dataverse and enterprise operational systems through low-code workflow orchestration with AI augmentation. Infarsight's intelligent automation practice delivers 200+ automation programmes, many of which run on Power Platform as part of a broader Microsoft-first enterprise stack.

Power AutomateWorkflow automation across Microsoft and third-party systems
Power AppsLow-code operational interfaces for field and back-office teams
Dynamics 365CRM and ERP integration with operational data and AI layers
Related Infarsight services and solutions

Building on Microsoft? Let's design the architecture together.

We start with a platform assessment, mapping your current Microsoft estate and identifying the highest-value Azure, Fabric and AI Foundry opportunities for your operations.

Partnerships
aws Amazon Web Services
AWS Partnership

Amazon Web Services:
Cloud Infrastructure for Operational AI.

Infarsight deploys enterprise operational systems on AWS, using EC2, ECS, Lambda, S3, RDS, Kinesis and AWS IoT Core to build the cloud foundation that agentic AI and real-time data platforms require. Every deployment is architected for operational resilience, security and cost governance.

AWS Cloud Kinesis Streaming AWS IoT Core Lambda and ECS S3 and Redshift

How Infarsight uses AWS

AWS is one of Infarsight's primary cloud delivery environments. Engineering teams deploy production operational systems, agentic AI pipelines, real-time data streaming, IoT ingestion and microservice architectures, on AWS infrastructure for clients who have standardised on Amazon cloud or require AWS-native services for compliance and data residency reasons.

AWS Service Coverage

AWS services Infarsight deploys in production.

Compute and Containers

  • EC2 — application and microservice hosting
  • ECS and Fargate — containerised workloads
  • EKS — Kubernetes for multi-service AI platforms
  • Lambda — serverless event-driven automation
  • Batch — large-scale data processing jobs

Data and Streaming

  • Kinesis Data Streams — real-time event ingestion
  • Kinesis Firehose — streaming to data lake
  • S3 — operational data lake storage
  • Redshift — analytics and reporting warehouse
  • Glue — ETL and data catalogue

AI and IoT

  • AWS IoT Core — device connectivity and telemetry
  • IoT Greengrass — edge compute and local AI
  • Bedrock — managed LLM for agentic AI systems
  • SageMaker — ML model training and deployment
  • Rekognition — document and image intelligence

Integration and Messaging

  • SQS and SNS — message queuing and pub/sub
  • EventBridge — event-driven workflow orchestration
  • API Gateway — REST and WebSocket API management
  • Step Functions — workflow state machines
  • AppSync — GraphQL API for operational data

Databases

  • RDS — relational data for operational applications
  • DynamoDB — low-latency key-value for real-time ops
  • ElastiCache — session and hot-path caching
  • Timestream — time-series telemetry data
  • Neptune — graph relationships for logistics networks

Security and Operations

  • IAM — identity and access governance
  • Secrets Manager — credential and key management
  • CloudWatch — monitoring and observability
  • CloudTrail — audit and compliance logging
  • WAF and Shield — application security
Related services

Running on AWS? We bring operational AI expertise to your cloud.

Start with an AWS architecture review, we map your current estate and design the data, AI and integration layers your operations need.

Partnerships
Google Cloud Cloud Partner
Google Cloud Partnership

Google Cloud Partner:
Data, AI and Infrastructure for Enterprise Operations.

Infarsight is a Google Cloud Partner, deploying BigQuery data warehouses, Vertex AI models, Pub/Sub streaming pipelines and GKE containerised workloads for enterprise operational intelligence programmes across Travel, Mobility and Logistics.

Google Cloud Partner BigQuery Vertex AI Pub/Sub GKE Looker

How Infarsight uses Google Cloud

Google Cloud is deployed by Infarsight primarily for data-intensive operational intelligence programmes where BigQuery's analytical performance, Vertex AI's managed ML infrastructure and Pub/Sub's real-time messaging capabilities align with client requirements. GKE provides the containerised runtime for microservice and agentic AI deployments on GCP.

GCP Service Coverage

Google Cloud services Infarsight deploys in production.

BigQuery and Analytics

Serverless analytics warehouse for operational reporting, historical analysis and real-time dashboard feeds. Infarsight builds BigQuery-based data foundations for clients requiring petabyte-scale analytics on Google Cloud, particularly for travel demand intelligence, fleet performance analytics and port throughput modelling.

BigQuery ML · Dataflow · Data Fusion · Looker · Looker Studio

Vertex AI and Gemini

Managed ML infrastructure and LLM access on Google Cloud. Infarsight uses Vertex AI for custom model training, deployment and serving in operational AI programmes, and Gemini API integration for agentic AI decision systems requiring Google's frontier model capabilities.

Vertex AI · Gemini API · Model Garden · Feature Store · Matching Engine

Pub/Sub and Dataflow

Real-time messaging and stream processing for operational data pipelines. Pub/Sub handles high-throughput event ingestion from travel booking systems, IoT devices and operational feeds. Dataflow processes and transforms streams at scale before landing in BigQuery or downstream AI systems.

Pub/Sub · Dataflow · Cloud Tasks · Cloud Scheduler · Eventarc

GKE and Cloud Run

Containerised application deployment and managed Kubernetes on Google Cloud. Infarsight deploys microservice architectures, agentic AI orchestration layers and operational APIs on GKE, with Cloud Run for serverless containerised workloads requiring rapid scaling.

GKE · Cloud Run · Artifact Registry · Cloud Build · Cloud Deploy
Related services

Building on Google Cloud? We bring operational AI depth to your GCP estate.

Start with a GCP architecture assessment, we map your data, AI and infrastructure requirements and design the right solution stack.

Partnerships
Bosch Mobility Partner
Bosch MPS Partnership

Bosch Mobility Solutions Partner:
Automotive AI and Connected Vehicle Intelligence.

Infarsight is a strategic engineering partner to Bosch Mobility Solutions (Bosch MPS), delivering data engineering, agentic AI and platform engineering capacity for connected vehicle, software-defined vehicle and automotive intelligence programmes globally.

Bosch MPS Partner Software-Defined Vehicle Connected Vehicle AI Automotive Data Engineering ADAS Intelligence

About the Bosch MPS Partnership

Bosch Mobility Solutions (Bosch MPS) is one of the world's leading automotive technology companies. Infarsight is a strategic engineering partner, providing data engineering, agentic AI development and platform operations capacity that integrates with Bosch MPS's automotive technology stack. This partnership enables joint delivery of vehicle intelligence programmes for OEM clients requiring the combined depth of Bosch automotive expertise and Infarsight's operational AI engineering.

Joint Capability

What Infarsight delivers through the Bosch MPS partnership.

Connected Vehicle Data Platform

Engineering the data ingestion and streaming infrastructure for connected vehicle programmes, collecting CAN bus, OBD-II, GPS and ADAS sensor data from vehicle fleets, processing it in real time and making it available for AI and diagnostic applications.

CAN bus J1939 · OBD-II · GNSS · ADAS sensor fusion · Real-time pipeline

Predictive Vehicle Health and Diagnostics

ML models trained on vehicle telemetry to detect anomaly patterns in engine performance, brake systems and component wear, predicting faults before they occur and generating maintenance scheduling recommendations for fleet and OEM programmes.

Anomaly detection · Fault prediction · Maintenance scheduling · Component lifecycle

Software-Defined Vehicle Intelligence

Architecture and engineering support for software-defined vehicle (SDV) programmes, helping OEMs build the data platform, AI model layer and over-the-air update infrastructure that modern software-defined vehicles require. Delivered in partnership with Bosch MPS's automotive software expertise.

SDV architecture · OTA update pipeline · Vehicle API design · Software integration

Fleet Intelligence and Dispatch Optimisation

Operational AI systems for commercial vehicle fleet operators, integrating Bosch MPS telematics capabilities with Infarsight's AssetSight platform and predictive dispatch models to optimise vehicle utilisation, reduce fuel consumption and improve on-time delivery performance.

AssetSight · Predictive dispatch · Fuel optimisation · Driver intelligence
Automotive reference clients

Fleet intelligence and connected vehicle programmes delivered for Volvo, Ashok Leyland, Eicher Motors and Royal Enfield, across telematics data platforms, predictive maintenance models and operational dispatch intelligence.

Volvo Ashok Leyland Eicher Motors Royal Enfield
Related capabilities

Building connected vehicle or fleet intelligence programmes?

We work with automotive OEMs and fleet operators through our Bosch MPS partnership, combining automotive technology depth with operational AI engineering.

Partnerships
Zeliot IoT Data Platform
Zeliot Partnership

Zeliot — IoT Data Platform:
Powering Infarsight's Real-Time Intelligence.

Zeliot is the developer of Condense — a real-time IoT and operational data streaming platform. Infarsight holds a minority investment in Zeliot and deploys Condense as the data foundation for mobility, fleet and logistics intelligence programmes requiring real-time telemetry at scale.

Zeliot Partnership Condense Platform IoT Data Streaming Real-Time Telemetry Infarsight Investment

About Zeliot and Condense

Zeliot is a technology company specialising in IoT and real-time data streaming infrastructure. Condense is Zeliot's flagship platform, providing the data ingestion, processing and streaming capabilities that Infarsight uses as the data foundation for agentic AI and mobility intelligence programmes. Infarsight is a minority investor in Zeliot and a primary deployment partner for the Condense platform.

About Zeliot

The IoT platform company behind Condense.

Zeliot develops infrastructure for real-time data collection, processing and streaming from IoT devices and operational systems. The company's flagship product, Condense — is purpose-built for the high-throughput, low-latency data demands of fleet telematics, connected vehicles and industrial IoT.

Infarsight's investment in Zeliot reflects a strategic alignment: the data layer that Condense provides is fundamental to the agentic AI and decision intelligence systems Infarsight builds for Mobility, Logistics and Travel clients.

What Condense delivers
Real-time IoT ingestion
MQTT, TCP/IP and AMQP device connectivity at scale, from vehicle telematics to industrial sensors
Pre-built operational connectors
Ready-made integrations for GDS, PMS, CRM, ERP and mobility systems, reducing data engineering build time
Semantic data models
Domain-specific data models for Travel and Mobility that normalise operational data into decision-ready formats
Data quality and governance
Built-in validation, schema registry and data quality monitoring, ensuring AI systems operate on accurate data
Deployed in Infarsight programmes for
Fleet telematics and predictive maintenance EV charging network intelligence Port terminal IoT and equipment monitoring Connected vehicle data platforms Travel and hospitality operational data pipelines

Need real-time IoT data infrastructure for your operations?

We combine Zeliot's Condense platform with Infarsight's data engineering and operational AI expertise, giving you the full stack from device to decision.

Partnerships
Optimizely Digital Experience Partner
Optimizely Partnership

Optimizely Partner:
Digital Experience and Content Platform Services.

Infarsight is an Optimizely Partner, implementing Optimizely's digital experience platform, content management and experimentation capabilities for enterprise clients in Travel, Hospitality and Enterprise Operations who require personalised, scalable digital experiences alongside their operational AI systems.

Optimizely Partner Digital Experience Platform Content Management Experimentation Personalisation

About the Optimizely Partnership

Optimizely is a leading digital experience platform used by enterprises to manage content, run A/B experimentation and deliver personalised digital experiences at scale. Infarsight's Optimizely partnership extends the company's product engineering and intelligent automation capability into the digital experience layer, helping clients connect their operational data and AI systems to the customer-facing digital platforms that Optimizely powers.

Optimizely Services

What Infarsight delivers on Optimizely.

CMS

Content Management

Optimizely CMS implementation and integration, structured content modelling, editorial workflow configuration, multi-site management and headless delivery for enterprise web properties.

A/B

Experimentation Platform

Optimizely Web and Feature Experimentation, A/B testing, multivariate testing and feature flag management for travel booking flows, hospitality web experiences and enterprise digital products.

1:1

Personalisation

Optimizely Data Platform (ODP) integration, connecting operational customer data to Optimizely's personalisation engine to deliver relevant content and experiences based on booking history, travel preferences and operational context.

API

Integration and API Delivery

Headless and composable Optimizely deployments, connecting the content and experience layer to operational systems including booking engines, PMS, CRM and GDS via Infarsight's integration services practice.

AI

AI-Connected Experiences

Connecting Optimizely's digital experience layer to Infarsight's operational AI systems, surfacing real-time operational data (availability, pricing, disruption alerts) through the Optimizely platform to deliver context-aware digital experiences.

OPS

Platform Operations

Ongoing Optimizely platform operations, performance monitoring, release management, content governance, platform upgrades and technical support as part of Infarsight's embedded platform operations model.

Related Infarsight services

Ready to connect your Optimizely platform to operational AI?

We implement Optimizely and integrate it with your operational data and AI systems, creating digital experiences driven by real-time operational intelligence.

Industries

Deep Industry Context.
Purpose-Built AI, Not Generic Delivery.

We don't apply generic AI to industry problems. Infarsight embeds in the operational reality of Travel, Mobility and Logistics, with purpose-built agentic AI and automation for the specific systems, pressures and buyers of each segment.

Travel operations tools and services
10+ years in Travel & Hospitality Mobility COE India30+ enterprise clients
Travel Center of Excellence · 10+ years

Travel & Hospitality

Eight segments, one COE, from TMCs and DMCs managing corporate and destination operations, to Airlines running disruption management, Tour Operators fulfilling complex programmes and OTAs handling high-volume bookings. Travel-specific intelligence, not generic technology.

AirlinesTMCDMCTour OperatorsOTAHotels
Explore Travel COE
Mobility Center of Excellence · India HQ

Mobility & Logistics

Fleet telematics, EV network intelligence, predictive dispatch, port operations and last-mile logistics, powered by Condense data engineering, AssetSight and a strategic partnership with Bosch Mobility Solutions for global programmes.

Fleet & EV Ports Last Mile Bosch Partner
Explore Mobility COE
Notable clients · includes clients from portfolio companies
Hyatt Hotels & ResortsPorts AmericaAdani Ports & LogisticsAmadeusTrisept SolutionsBoschVolvoAshok LeylandEicherRoyal Enfield

Don't see your segment?

Our capability stack, Data Engineering, Agentic AI, Intelligent Automation and Product Engineering, applies to any operationally complex enterprise.

Industries
Travel Center of Excellence · 10+ years

Travel Operations AI:
Eight Segments, One Engineering Partner.

The travel industry is not a single market, it is eight distinct operational contexts, each with its own pressures, systems and buyers. Infarsight's Travel Center of Excellence brings together domain experts, engineering capacity and proprietary AI accelerators built for each segment. We don't apply generic technology to travel problems, we solve travel operations problems with travel-specific agentic AI and automation.

TMC DMCAirlinesTour OperatorsOTAHotelsTravel Tech
10+
Years embedded in travel operations
95%
Faster disruption resolution with TripSight
6 hrs
Saved per ops teammate daily via TaskSight
8
Travel segments served by Travel COE
The problem

Travel operations run on fragmented systems, manual handoffs and reactive processes.

While customers expect seamless, instant outcomes, the teams delivering those outcomes are still switching between GDS, PMS, CRM, email and spreadsheets, filling integration gaps by hand.

What is Travel Operations AI?

Travel operations AI uses agentic systems to automate booking, post-booking, disruption management and coordination workflows across TMCs, airlines, hotels, DMCs, OTAs and tour operators. It connects GDS systems, PMS platforms, supplier APIs and operational tools into an automated decision layer, reducing manual processing, protecting revenue during disruptions and enabling operations teams to handle higher volumes without adding headcount.

Disruption is the norm — response is still manual

Cancellations, delays, rebookings, hotel reassignments, every disruption triggers a chain of manual interventions that scale poorly, drive costs up and frustrate travellers.

Systems that don't talk to each other

GDS, PMS, CRM, ERP and supplier systems operate in silos. Data moves by email and spreadsheet. Every integration gap is filled by a person doing manual re-entry.

Decisions made too late on data too old

Yield decisions, resource allocation and service recovery all happen reactively, on reports that are hours old. The window for optimal action has already passed.

Operational scale without operational intelligence

High-volume operators are adding headcount to manage complexity that technology should be handling. Operations grow linearly, automation hasn't kept up.

Segments we serve

Every Travel Segment Has Different Systems, Different Buyers and Different Operational Pressures, AI Built for Each.

SEGMENT 01

Airlines — Carrier Operations & Disruption Intelligence

Thousands of interdependent decisions across flights, passengers, crew, gates and revenue, happening simultaneously, every hour. Infarsight connects flight ops, GDS, crew systems and ground handlers into a single real-time operational view with automated IRROPS resolution.

IRROPS managementTurnaround coordinationAncillary revenue automationPassenger communications
Deep dive →
Key challenges
  • Irregular operations requiring real-time rebooking across hundreds of affected passengers
  • Turnaround coordination, gate, crew, catering, fuel and ground handler sequencing under time pressure
  • Ancillary revenue automation across web, app and agent channels
  • Operational data fragmentation across flight ops, crew systems and GDS
How Infarsight helps
  • IRROPS agent automatically assesses disruption scope, identifies rebooking options and rehouses passengers before the gate
  • Turnaround data integration, connects flight ops, crew and handling systems into one view
  • Passenger communication automation triggered by operational events, not manual sends
  • 95% faster disruption resolution vs manual workflows
SEGMENT 02

TMC — Travel Management Companies

Corporate travel programmes, duty of care, GDS booking workflows and policy-compliant booking engines. Agents performing 172 clicks per request, spending 15–20 minutes per quote across GDS, email, CRM and ticketing systems. TripSight cuts that to one click.

TripSightCorporate policy automationGDS integrationDuty of care
Key challenges
  • Multi-hour request-to-book TAT across email, Slack, Teams and WhatsApp channels
  • Multiple quote revisions leading to back-and-forth email chains
  • Teams stretched thin with backlogs that jeopardise SLA during peak season
  • Data fragmentation, agents alt-tabbing between GDS, CRM, email and hotel systems
How Infarsight helps
  • TripSight reduces 172 clicks to 1 for travel agents — TAT from 23 minutes to 3.4 minutes
  • Auto-pilot for high-volume requests, co-pilot mode for policy-sensitive bookings
  • 100+ pre-trained request-to-book scenarios covering all flight, hotel and visa combinations
  • Full duty of care monitoring with automated SLA tracking and escalation
SEGMENT 03

DMCs — Destination Management Companies

Ground operations, airport transfers, excursion logistics and supplier coordination at destination. The issue isn't demand, the issue is that by the time a problem appears in a report, the opportunity to prevent it has already passed.

AssetSightJourneySightLive flight syncSupplier coordination
Deep dive →
Key challenges
  • Airport transfer coordination — syncing pickups with live flight arrival data in real time
  • Fleet dispatch and driver assignment across concurrent arrivals at multiple terminals
  • Excursion scheduling, supplier confirmation, guest notification and resource allocation done manually
  • No real-time visibility across vehicles, drivers and guests throughout the destination
How Infarsight helps
  • AssetSight auto-syncs dispatch with live flight data, zero missed pickups from flight changes
  • JourneySight orchestrates all supplier tasks, guide assignments and guest communications automatically
  • Live fleet dashboard, vehicle health, driver locations and ETA tracking across every transfer
  • Target: zero missed pickups, 34% fuel reduction, 4–6× cost savings vs manual coordination
SEGMENT 04

Tour Operators — Package & Wholesale Operations

Multi-supplier package assembly, group travel operations, amendment processing and wholesale distribution. The data to prevent programme failures exists, it just isn't connected. Infarsight creates a programme intelligence layer across the entire tour operation.

TripSightTaskSightProgramme intelligenceAmendment automation
Key challenges
  • Multi-supplier package assembly across hotel, flight, transfer and experience components
  • Group travel operations, rooming lists, seat blocks, dietary requirements coordinated manually
  • Amendment and cancellation processing with complex supplier penalty rules per season and contract
  • Reconciliation, matching supplier costs to revenue across high-volume bookings without automation
How Infarsight helps
  • Package assembly automation, intelligent multi-component booking from live supplier availability
  • Group operations workflow, rooming lists, transport manifests and supplier comms automated end-to-end
  • Amendment processing agent, reads contract rules, calculates penalties, notifies all parties
  • Live margin monitoring, every departure tracked against its cost model in real time
SEGMENT 05

Hotels & Hospitality

Yield optimisation with real-time demand signals, housekeeping and maintenance task automation, group booking coordination and guest journey intelligence from pre-arrival through post-stay recovery.

TaskSightYield automationGuest journey intelligenceOTA channel management
Key challenges
  • Revenue management across OTA, direct and group channels, manual yield decisions on stale data
  • Pre-arrival and in-stay service coordination, special requests lost between booking and arrival
  • Group booking task coordination across F&B, housekeeping, AV and concierge teams
  • Post-stay recovery, complaints identified in reviews rather than resolved proactively
How Infarsight helps
  • TaskSight orchestrates pre-arrival room assignment, special requests and group coordination automatically
  • Booking platform integration, real-time demand signals feeding yield decisions
  • OTA amendment and cancellation processing automated end-to-end
  • Automated post-stay surveys and service recovery workflows
Purpose-built accelerators

Pre-built intelligence for Travel COE deployments.

TripSight

Agentic AI for travel booking operations, automates requests from Email, Slack, Teams and WhatsApp. 172 clicks → 1 click. 23 minutes → 3.4 minutes per request.

Explore TripSight →

JourneySight

Post-booking operations for DMCs and tour operators, supplier coordination, live flight sync, guide allocation and guest communications automated across complex programmes.

Explore JourneySight →

TaskSight

Post-booking operations intelligence, orchestrates every task, handoff and exception across travel, hospitality and airlines. 6 hrs saved per operator daily. 95% SLA compliance.

Explore TaskSight →

"Partnering with Infarsight has been a game changer for us. Their automation capabilities have not only streamlined our processes but also fuelled innovation, allowing us to bring new solutions to market faster than ever."

Anderson Hernandez — SVP Contact Centers & Operations, Hyatt Hotels & Resorts

Frequently asked questions: Travel Operations AI

What is AI for travel management companies (TMCs)?

AI for TMCs automates the high-volume, manual steps in corporate travel management: processing booking requests from email and messaging channels, checking policy compliance, querying GDS systems, managing post-booking exceptions and monitoring duty of care. TripSight reduces request-to-book turnaround from 23 minutes to 3.4 minutes. TMCs that deploy travel automation reduce cost-per-transaction while handling higher volumes without adding headcount.

How does agentic AI help travel agencies and OTAs?

For travel agencies and OTAs, agentic AI handles post-booking operations that scale poorly with volume: supplier confirmation monitoring, schedule change detection, IRROPS recovery, refund processing and customer communications. These processes are structured and repeatable, exactly the conditions where agentic systems outperform manual teams. TaskSight orchestrates this entire post-booking layer, reducing silent failure rates and freeing agents for the complex, relationship-intensive work that requires human judgement.

What GDS and travel technology systems does Infarsight integrate with?

Infarsight integrates with Amadeus, Sabre and Travelport at full transactional depth, shopping, booking, ticketing, PNR lifecycle and ancillary services. NDC connectivity covers Level 3 and 4 across major airlines and aggregators including Verteil, Duffel and AirGateway. For hospitality, connectivity spans Opera, Mews, Synxis and major channel managers. The integration services practice maintains all connectivity post-deployment.

Ready to automate your travel operations?

We begin with a Travel COE assessment, mapping your segment, systems and highest-value automation opportunities.

01 Operational Audit
02 Accelerator Fit Workshop
03 Pilot Program Design
Travel COE
Airlines · Travel Center of Excellence

Airline Operations AI:
Carrier Operations and Disruption Intelligence.

Airlines manage more simultaneous operational dependencies than virtually any other industry, flight operations, passenger management, crew scheduling, revenue, airports and regulatory compliance, all in real time. The question isn't whether to collect data. It's whether your teams can act on it fast enough.

Airline operations tools and services
Carrier Operations IRROPSGround HandlingAncillary Revenue
€150–350K
Average delay cascade cost per incident
95%
Faster disruption resolution with TripSight
6 hrs
Per ops teammate saved daily via TaskSight
Zero
Surprise compensation on monitored ops
Six operational domains

Six operational domains

What is Airline Operations Intelligence?

Airline operations intelligence uses agentic AI to connect flight operations, passenger management, crew scheduling, revenue management and ground coordination into a single decision layer. It detects disruptions before they escalate, evaluates recovery options automatically and executes rebooking, crew reassignment and gate coordination without manual intervention across each disconnected system.

Each complex on its own.
Airline intelligence connects them all.

Flight operations

Aircraft rotation, delays, maintenance holds, gate changes and airspace events cascade across the entire departure board. Infarsight builds the unified ops view that surfaces the cascade before it compounds.

Passenger management

Connections, overbooking, rebooking, loyalty status, accessibility needs and service recovery coordinated in minutes, not hours, with automated communications dispatched before passengers reach the gate.

Crew scheduling

Duty limits, certifications, positioning and standby coverage managed continuously across every flight in the network, with automated compliance checks preventing regulatory breaches before they occur.

Revenue management

Load factors, yield decisions, overbooking models and compensation exposure tracked against real-time operational events, every departure tracked against its cost model with live margin visibility.

Airport operations

Gate assignments, ground handlers, baggage systems and turnaround times connected, from flight ops, crew, catering and handling systems into a single operational view with automated alerts for every constraint.

Ancillary revenue

Rules-based upsell and upgrade automation deployed across web, app and agent channels, triggered by the operational context of each passenger's journey, not scheduled marketing blasts.

How Infarsight helps

From signal to resolution, before passengers reach the gate.

IRROPS MANAGEMENT

Automated disruption assessment and resolution

IRROPS management agent automatically assesses disruption scope, identifies rebooking options, calculates the cost of each resolution path and rehouses passengers, before they reach the gate.

TripSightGDS integrationEU261 monitoring
What gets automated
  • Disruption scope assessment, how many passengers, which connections, what downstream impact
  • Rebooking option evaluation against policy, availability and cost constraints
  • Passenger communications dispatched automatically at the moment of disruption, not after manual triage
  • EU261 compensation monitoring with automated tracking and claim prevention
Operational outcomes
  • 95% faster disruption resolution vs manual workflows
  • Recommended actions surfaced before passengers are affected
  • Zero surprise compensation claims on monitored operations
  • Live financial exposure tracking per departure, per disruption event
GROUND OPS & TURNAROUND

Connected turnaround coordination

Flight ops, crew, catering, fuel and ground handling systems connected into a single operational view with automated alerts and sequenced task assignment across every concurrent departure.

TaskSightGround handler integrationReal-time sequencing
What gets connected
  • Flight status feeds, crew manifests, catering orders and fuel uplift requests in one view
  • Ground crew task assignment triggered by live flight status events
  • Lounge, special assistance and VIP service task management automated end-to-end
  • Turnaround performance tracking against scheduled block time
Operational outcomes
  • 6 hours per ops teammate per day saved via TaskSight back-office automation
  • Amendment processing, crew confirmations and passenger comms automated
  • No missed ground service tasks on monitored operations

Frequently asked questions: Airline Operations AI

What is agentic AI for airline operations?

Agentic AI for airline operations connects flight operations data, passenger management systems, crew scheduling and ground operations into a single intelligence layer, detecting disruptions, evaluating recovery options against operational constraints and executing rebooking, crew reassignment and gate coordination automatically. The goal is to reduce the time between disruption detection and passenger resolution from hours to minutes.

How does airline disruption management AI work?

When a delay, cancellation or IRROP occurs, the system simultaneously evaluates: passenger connection risks and rebooking options across GDS and airline direct APIs; crew availability and regulatory constraints; gate and ground resource availability; and downstream fleet schedule impacts. Options are ranked against defined recovery priorities and either executed automatically or presented to operations controllers for confirmation, with full audit trail throughout.

Does Infarsight integrate with airline PSS systems?

Yes. Infarsight integrates with Amadeus Altea (Central Reservations, Inventory and Departure Control), Navitaire (LCC PSS), Radixx and SITA AMS. NDC Level 3 and 4 connectivity covers major network carriers and LCCs including Ryanair, EasyJet, IndiGo and AirAsia. The integration services practice maintains these connections and manages API version changes as carriers update their distribution systems.

Ready to transform airline operations?

We start with an airline operations audit, mapping your IRROPS workflow, disruption costs and highest-value automation opportunities.

Travel COE
DMCs & Tour Operators · Travel Center of Excellence

DMC Operations AI:
Destination Programme Intelligence and Automation.

The issue isn't demand, the issue is operational visibility. By the time a problem appears in a report, the opportunity to prevent it has already passed. Infarsight creates a programme intelligence layer across the entire destination operation, connecting flights, ground partners, suppliers, amendments and guest communications into a single view.

DMC and tour operations tools
DMC Tour OperatorsGround HandlersDestination Management
Zero
Missed pickup target on monitored ops
−34%
Fuel reduction via intelligent dispatch
95%
Faster TAT on disruption resolution
4–6×
Cost saving vs manual coordination
The problem

What is DMC Operations Automation?

Destination Management Company (DMC) operations automation uses agentic AI to coordinate ground operations, supplier confirmations, guide and vehicle allocation, live flight syncing and guest communications across concurrent programmes. It detects supplier failures, flight changes and programme exceptions before they reach guests, protecting programme profitability and client relationships.

By the time the problem is visible, the damage is already done.

01

The refund has been issued

A missed transfer. A double-booked room. A tour departure that left without a guest. By the time the operational failure surfaces, the financial and reputational cost has already been incurred. The operation responded, it just responded too late.

02

The review has been posted

In tourism, operational failures are immediately visible. Guests don't write reviews about systems, they write reviews about their experience. A missed pickup, a late departure, a confusing collection point. The rating is permanent.

03

The partnership is under threat

Tour operators build programmes around DMC reliability. One bad season, even one bad week at peak, triggers a commercial conversation. The trust that took years to build can be lost in a single disruption event that wasn't handled well.

How Infarsight helps

From airport arrival to programme completion, every handoff automated.

Live flight sync and transfer automation

AssetSight connects to live flight data feeds, vehicle dispatch adjusts automatically when flights are early, delayed or diverted. Guides and drivers notified automatically. The coordinator doesn't need to see the flight to dispatch correctly.

Supplier coordination and programme management

JourneySight orchestrates all supplier tasks, hotel confirmations, guide briefings, excursion logistics and amendment handling, across concurrent programmes simultaneously. No chasing emails. No status calls.

Guest communication automation

Arrival confirmations, transfer reminders, hotel check-in alerts and disruption notifications dispatched automatically via the guest's preferred channel, triggered by operational events, not manual sends.

Fleet performance and fuel intelligence

Live vehicle health, driver locations, route adherence and ETA tracking across every transfer, with fuel efficiency analytics and driver performance scoring. 34% fuel reduction. Zero missed pickups target.

Operational visibility dashboard

Live view of all active programmes, vehicles, drivers, guests and supplier status throughout the destination, with exception detection before problems become guest experiences.

Programme intelligence for tour operators

Airline schedule changes, hotel stop-sells and ground partner reliability monitored continuously across every active departure, with automated amendment processing and passenger impact assessment before your team is even alerted.

Guest journey with Infarsight

Every stage monitored. Every risk surfaced. Every communication automated.

01

Pre-Arrival

TripSight monitors flight schedules, hotel confirmations and ground partner status from booking confirmation. Any change triggers immediate impact assessment.

02

On Arrival

AssetSight auto-dispatches from actual landing time. Live vehicle tracking, guest notification and airport collection automated without coordinator intervention.

03

In-Destination

JourneySight orchestrates excursion logistics, guide assignments, supplier confirmations and hotel coordination across every active programme simultaneously.

04

Exceptions

Disruptions detected before guests feel them. Automated resolution for routine exceptions, complex cases escalated with full context and recommended action.

05

Return & Debrief

Transfer to airport automated. Every disruption event, resolution cost and guest impact captured automatically for per-departure performance reporting.

Ready to protect programme profitability?

We begin with a destination operations audit, mapping your current transfer workflows, supplier coordination overhead and highest-cost operational failures.

01 Operations Audit
02 Programme Intelligence Design
03 Pilot (4–6 weeks)
Industries
Mobility Center of Excellence · India HQ

Mobility Operations Intelligence:
Fleet, EV, Ports and Last-Mile AI.

Fleet telematics, EV charging network management, predictive maintenance, port terminal intelligence and last-mile logistics, powered by Condense real-time data engineering, AssetSight and a strategic partnership with Bosch Mobility Solutions for global automotive and mobility programmes. We don't treat mobility as a side practice, Infarsight's Mobility COE is a dedicated capability unit built for the operational complexity of fleets, ports and intelligent transport.

What is Mobility Operations Intelligence?

Mobility operations intelligence applies agentic AI and real-time data engineering to fleet management, EV charging networks, last-mile logistics and connected vehicle programmes. It connects telemetry, dispatch systems, IoT infrastructure and operational data into a unified intelligence layer, enabling predictive maintenance, route optimisation, port terminal coordination and vehicle health monitoring at enterprise scale.

Mobility operations tools and services
Fleet Operations EV NetworksPorts & LogisticsLast MileSDV
−34%
Fuel consumption via intelligent dispatch
97%
On-time dispatch reliability
Predictive
Failures detected before operations impacted
Bosch
Mobility Solutions strategic partner
Segments we serve

Every mobility segment has different data, different assets and different operational pressures.

SEGMENT 01

Fleet Operations and Predictive Dispatch

Predictive dispatch based on live vehicle health, location and availability. Fleet health scoring, maintenance prediction and route optimisation across conventional and EV fleets, powered by AssetSight and Condense telemetry pipelines.

AssetSightPredictive maintenanceRoute optimisationFuel intelligence
What Infarsight delivers
  • Live telemetry ingestion from vehicle OBD/CAN bus, IoT sensors and telematics platforms
  • Predictive maintenance alerts from vibration, temperature and pressure anomaly detection
  • Dispatch optimisation driven by vehicle health, remaining range and route suitability
  • Fuel efficiency analytics and driver behaviour scoring
Operational outcomes
  • 34% fuel consumption reduction via intelligent routing and dispatch
  • 97% on-time dispatch reliability across monitored fleets
  • Failures predicted days ahead, maintenance planned, not emergency
  • Zero dark fleet, every asset emitting a live signal at all times
SEGMENT 02

EV Network Management

Charging network state management, real-time availability, session monitoring, demand forecasting, fault detection and battery health degradation tracking across distributed EV infrastructure. Charging schedules optimised against operational demand and grid costs.

AssetSightCondense IoT pipelinesBattery health modellingGrid optimisation
What Infarsight delivers
  • Real-time charging network state, availability, active sessions, fault detection and alerts
  • Battery health tracking and degradation modelling across fleet vehicles
  • Demand forecasting to align charging schedules with operational requirements
  • Range impact calculation per vehicle before dispatch assignment
Operational outcomes
  • No EV dispatched without sufficient range for its assigned route
  • Charging costs optimised against off-peak grid pricing continuously
  • Battery degradation visible before it impacts operational range
SEGMENT 03

Ports and Logistics Intelligence

Berth scheduling, gate operations, container dwell time reduction and port command centers, connected across vessel tracking, equipment sensors, gate systems and ERP platforms. Built with Bosch MPS for complex port intelligence programmes.

CommandSightBosch MPS partnershipVessel AIS integrationGate automation
What Infarsight delivers
  • Berth scheduling and conflict resolution from vessel AIS, ETA feeds and berthing requests
  • Gate management, FASTag/RFID/ANPR automation, biometric authentication and compliance integration
  • Container tracking and dwell time analytics with predictive staging logic
  • Port command center, unified operational view with real-time digital twin and ERP integration
Operational outcomes
  • Berth conflicts resolved before vessel arrival, not after disruption
  • Dwell time reduction through predictive staging and automated gate ops
  • Port management teams operate from a single live operational view
SEGMENT 04

Last-Mile Logistics and Software-Defined Vehicle

AI-driven route optimisation, delivery sequence automation, real-time exception handling and customer notification for last-mile operations. Connected vehicle intelligence and predictive quality systems for OEM vehicle intelligence programmes.

Condense data platformRoute intelligenceConnected vehicle pipelines
What Infarsight delivers
  • Route optimisation with real-time traffic, load conditions and customer SLA constraints
  • Delivery sequence automation and exception handling at scale
  • Connected vehicle data pipelines from OEM sources for intelligence and quality programmes
  • CO₂ emissions tracking and fuel and energy management analytics
Operational outcomes
  • Reduced CO₂ emissions through route and energy optimisation
  • Better fleet utilisation from demand-supply matching intelligence
  • Lower fleet and logistics costs from predictive and route optimisation
Strategic Partnership

Bosch Mobility Solutions

Infarsight is a strategic technology partner for Bosch Mobility Platform and Solutions, delivering data engineering, agentic AI and operational intelligence for Bosch's global mobility programmes across fleet management, port operations, last-mile logistics and EV infrastructure.

bosch-mps.com ↗
Fleet Management
End-to-end fleet intelligence
Port Operations
80+ live projects deployed
EV Infrastructure
Battery health and charging
Last Mile
CO₂ and logistics optimisation
Purpose-built accelerator

AssetSight — continuous intelligence across every asset.

Solution Accelerator · Mobility COE

AssetSight

Continuous intelligence across fleets, vehicles and infrastructure, using telemetry, anomaly detection and predictive signals so failures are detected before they impact operations. From IoT ingestion to automated maintenance dispatch in one connected system.

−34%
Fuel and unplanned downtime
97%
On-time dispatch reliability
Predictive
Failures detected before impact
Real-time
Every asset emitting a live signal

Frequently asked questions: Mobility Operations AI

What is AI for fleet operations?

AI for fleet operations uses real-time telemetry and machine learning to optimise dispatch decisions, predict vehicle faults before breakdown, monitor driver behaviour and reduce fuel consumption. Unlike scheduling software that plans routes at the start of a shift, fleet operations AI re-optimises continuously, adjusting assignments as vehicle health changes, traffic conditions shift and delivery priorities update throughout the day. Infarsight clients achieve up to 34% fuel reduction and 97% on-time dispatch reliability.

What is Infarsight's approach to AI for ports and logistics?

Agentic AI for ports uses real-time vessel AIS data, berth constraints, yard capacity and equipment availability to optimise berth allocation, container staging and gate throughput continuously, not just at the start of each shift. When a vessel runs late, the system automatically re-sequences berth allocation and yard operations to minimise the cascade of delays. Reference clients include Ports America and Adani Ports and Logistics.

How does the Bosch MPS partnership expand Infarsight's mobility capability?

Bosch Mobility Solutions (Bosch MPS) is Infarsight's strategic technology partner for connected vehicle and software-defined vehicle programmes. Through this partnership, Infarsight provides data engineering, agentic AI and platform engineering capacity for automotive OEM programmes globally, extending Infarsight's mobility capability into vehicle intelligence, ADAS data platforms and connected car programmes for Bosch's automotive client base.

Ready to build intelligent mobility operations?

We begin with a Mobility COE assessment, mapping your fleet telemetry coverage, operational gaps and highest-value automation opportunities.

01 Fleet and Asset Audit
02 Intelligence Architecture
03 Pilot Program
About Infarsight

"We lead with data, act with purpose,
build with scale in mind."

Sanjeev Sethi — Founder & CEO, Infarsight

Who we are

A Global Agentic AI and Enterprise Automation Company Built on Operational Depth.

Explore Infarsight

Founded in 2014 in Princeton, New Jersey, Infarsight is a global agentic AI and enterprise automation company. We connect enterprise systems with AI to run operations faster and protect revenue, across Travel, Mobility, Logistics and Ports. From airline operations to port terminals, we partner with enterprises to replace reactive, manual processes with automated decision systems.

Our model is not advisory, we embed engineers, build production AI systems and stay accountable for the outcomes those systems deliver. We design, build and operate agentic AI, data engineering and intelligent automation solutions that make enterprise operations faster, more precise and more profitable. We measure success in decisions automated, revenue protected and operational hours returned to the teams we work with.

2014
Founded Princeton, NJ
7+
Average client tenure (years)
91.2
Net Promoter Score
85%
Employee retention
Our journey — 11 years of building
2014

Founded in USA

Princeton, New Jersey — Infarsight Ideation Inc. established

2015

Travel vertical

First Travel practice and enterprise clients. TripSight concept begins.

2016

Qatar investment

Strategic investment and regional expansion into the Middle East

2018

Intelligent Automation practice

200+ automation programmes launched across Travel, Hospitality and Ports

2020

BI and Analytics practice

Data Engineering formalised as a core capability line

2021

Ports vertical

Ports & Logistics practice launched. Adani Ports and Ports America engaged.

2022

AI practice line

Agentic AI and ML formalised. LLM-powered operational agents in production.

2023

UAE office launch

Middle East HQ opened in Dubai. Regional delivery footprint expanded.

2024

Delivery Accelerators launched

Condense, TripSight, TaskSight and AssetSight released as deployable products

2025

Mobility COE India

CommandSight and DecisionSight released. Bosch MPS strategic partnership formalised.

Our scale

30+ Enterprise Clients Across Three Continents.

30+

Enterprise Clients

USA · UAE · India. Seven-plus year average client tenure. Built on trust and long-term partnerships, not project handovers.

200+

Team members and 4 IPs

Engineering, talent and proprietary accelerators: TripSight, TaskSight, AssetSight. Plus minority investment in Condense, the Zeliot real-time data platform.

91.2

Net Promoter Score

Client satisfaction measured and reported. 85% employee retention. Two of the hardest numbers to maintain simultaneously.

10+

Years in delivery

Not a startup still finding product-market fit. A decade of operational delivery across Travel, Mobility, Ports and Logistics.

Notable clients · includes clients from portfolio companies
Hyatt Hotels & ResortsPorts AmericaAdani Ports & LogisticsAmadeusTrisept SolutionsBoschVolvoAshok LeylandEicherRoyal Enfield
Our approach

How we work is part of what we build.

Embedded — not handed over

We don't deliver and disappear. Infarsight engineers embed directly into operational teams, attend standups, own systems and ship alongside clients every day. We stay accountable for the performance of what we build.

Industry depth — not generic delivery

Travel, Mobility and Logistics are not use cases for us, they are the industries we were built to serve. Our templates encode operational intelligence that took a decade to accumulate. We know where the exceptions live before you describe them.

Connected — not isolated deliverables

Our five engineering practices, Data Engineering, Agentic AI, Intelligent Automation, Product Engineering and Platform Operations, are designed to work together. The full stack is the product. Isolated capabilities are only valuable when connected.

Credentials and partnerships

Built on verified partnerships and operational track record.

Microsoft
Solutions Partner
Databricks
Technology Partner
Bosch MPS
Strategic Mobility Partner
Optimizely
Technology Partner
ISO 27001:2018
Information Security
ISO 9001:2015
Quality Management
ISO 14001:2015
Environmental Management
Condense + Zeliot
Zeliot platform (Infarsight investment)
How we engage

From first conversation to continuous operational improvement.

01

Discovery

Operational audit, system mapping and opportunity sizing. We identify the highest-value automation gaps and their cost. 1–2 weeks.

02

Design

Architecture blueprint, workflow design, integration model and MVP scoping. System design aligned to operational context, not technical preference. 2–4 weeks.

03

Build

Iterative engineering sprints, integration delivery, QA, performance testing and UAT. Embedded team, accountable outcomes. 4–16 weeks.

04

Operate

Live monitoring, incident management, performance tuning and team enablement. We stay in the system we built. Ongoing.

05

Optimise

Workflow expansion, AI layer activation, new use cases and quarterly business reviews. Continuous improvement from measured operational outcomes. Continuous.

"Partnering with Infarsight has been a game changer for us. Their automation capabilities have not only streamlined our processes but also fuelled innovation, allowing us to bring new solutions to market faster than ever. Their approach has truly accelerated our digital transformation, driving both efficiency and growth."

Anderson Hernandez — SVP Contact Centers & Operations, Hyatt Hotels & Resorts

Frequently asked questions: About Infarsight

What does Infarsight do?

Infarsight engineers agentic AI systems, data engineering platforms, intelligent automation and enterprise integration services for operationally complex enterprises across Travel, Mobility and Logistics. The company embeds engineers directly into client operations and stays accountable for the systems it builds, measured in decisions automated, revenue protected and operational hours returned to the teams it works with. Founded in 2014, headquartered in Princeton, New Jersey.

How does Infarsight differ from a consulting or IT services firm?

Infarsight does not deliver recommendations or hand over at go-live. Engineers embed into client operational teams, attend standups, own the systems they build and are measured by the operational outcomes those systems deliver. The five engineering practices, data engineering, agentic AI, intelligent automation, product engineering and platform operations, are designed to work as a connected stack. The average client tenure is seven years. The company holds a 91.2 Net Promoter Score.

Where is Infarsight based and where does it operate?

Infarsight Ideation Inc. is headquartered at Suite 300, 5 Independence Way, Princeton, New Jersey 08540. Regional offices operate in Dubai, UAE and India, where the Mobility Center of Excellence is based. The company serves clients across North America, the Middle East, Europe and Asia-Pacific. Contact: info@infarsight.com and +1 865 424 0205.

Let's build together.

We start with an operational assessment, mapping your systems, identifying decision gaps and designing the architecture that connects data, decisions and outcomes.

Contact Us

Start with an Operational Intelligence Assessment.

We map your systems, identify the highest-value agentic AI and automation opportunities and design the architecture that connects data engineering, decision intelligence and operational execution. No obligation, just operational clarity.

Book a Consult

We respond within 24 business hours. No spam, no sales pressure.

What to expect
1

Operational Assessment

We map your systems, data flows and processes, identifying decision delays, integration gaps and their operational cost. 1–2 hour conversation, no preparation needed.

2

Architecture Workshop

We design the data-to-decisions architecture for your specific gaps, covering integration points, automation logic, AI layer and platform requirements with realistic effort and timeline.

3

Pilot Program Design

We scope a focused pilot, fast time-to-value with minimal risk. You see the system working in your environment before a long-term commitment is required.

Direct contact
Headquarters
Suite 300, 5 Independence Way
Princeton, New Jersey 08540, USA
Global offices

Three offices. One delivery model.

Infarsight operates from Princeton, Dubai and India — giving clients proximity to commercial leadership in the USA and UAE, and engineering depth from India.

USA — Headquarters

Princeton, New Jersey

Suite 300, 5 Independence Way
Princeton, NJ 08540

Global headquarters · Commercial leadership
Travel COE · North America accounts
UAE — Middle East HQ

Dubai, UAE

Dubai · United Arab Emirates

Middle East and GCC region hub
Travel COE · Mobility COE · MENA accounts
India — Engineering Hub

India

Mobility COE · Engineering Centre

120+ engineering team members
Mobility COE · Data & AI engineering
Princeton, NJ — USA HQ
Dubai — UAE
India — Engineering Hub
Services

Six engineering practices.
Built for operational delivery.

We don't believe in one-size-fits-all technology delivery. Each engineering practice is purpose-built for the operational context it serves, with embedded teams, accountable outcomes and long-term ownership of the systems and data quality we deliver.

The Infarsight difference

From Software Projects to Operational Systems.

Traditional IT delivery was built for a different era, scoped deliverables, measured in features shipped, handed off at go-live. We build operational systems: continuous intelligence that evolves, measured in decisions automated and outcomes achieved.

  • Embedded engineers in your operational delivery — not handed over
  • Measured in decisions automated and outcomes achieved
  • Integration is the core value layer, not someone else's problem
  • We stay accountable for the health of systems we build, long-term
Traditional IT
  • Scoped deliverables with fixed outcomes
  • Measured in features shipped
  • Handed off at go-live
  • No ownership of operational performance
  • Integration is someone else's problem
Infarsight Approach
  • Continuous intelligence that evolves
  • Measured in decisions automated
  • Designed to run, learn and adapt in production
  • Embedded in operational delivery
  • Integration is the core value layer
Our five practice lines
01

Data Engineering

From Raw Data to Decisions, the intelligence foundation. 7 targeted service tracks from BAU to real-time streaming, data quality, IoT capture, modernisation, analytics enablement and MDM.

DatabricksMS FabricKafkaCondense
02

Agentic AI

Engineering Better Decisions — agents that perceive, reason and act on operational signals automatically. Agent design, decision intelligence, human-in-the-loop and agent ops & governance.

LangChainCursor AIMulti-agent
03

Intelligent Automation

Processes That Run Themselves — 200+ programs delivered. Architecture-led: connected automation estate, not a patchwork of point tools. RPA, AI-augmented processing and system integration.

AppianUiPathPower Platform
04

Product Engineering

Systems Built to Perform — 30+ enterprise platforms built and operated. Platform design, architecture modernisation, reliability engineering and BAU stabilisation with embedded teams.

KotlinPython.NETJava
05

Platform Ops & Governance

The Control Layer — 99.9% uptime, 24/7 monitoring, DevSecOps and continuous governance. Cloud infrastructure, observability, security & compliance, FinOps and incident response.

AzureAWSDevSecOpsTerraform
Client outcomes

Measurable results across every practice.

10×

Decision Speed

Automated decision routing eliminates waiting for manual reviews, reports and approval chains.

−40%

Operational TAT

End-to-end workflow automation collapses turnaround time for key operational processes.

−70%

Manual Handoffs

Intelligent routing ensures exceptions reach humans only when human judgment is required.

60%

Faster Pipeline Build

Condense accelerator reduces time to production-grade data pipelines vs building from scratch.

Not sure where to begin?

Start with an operational assessment, we map your systems and identify the highest-value entry point.

Company · About Us

Built for operations.
Accountable for outcomes.

Infarsight is a global AI operations technology company. We connect enterprise systems with AI to run operations faster and protect revenue, embedding engineers, building production systems and staying accountable for the outcomes those systems deliver.

Founded 2014 · Princeton, NJ USA · UAE · IndiaTravel COEMobility COE
10+
Years of operational delivery
30+
Enterprise clients globally
91.2
Net Promoter Score
7+
Average client tenure (years)
Our story

From automation services
to AI operations.

Infarsight was founded in 2014 in Princeton, New Jersey with a single conviction: the gap between enterprise data and operational decisions was costing businesses far more than they realised, in revenue lost to slow responses, in costs accumulated through reactive operations, and in teams burning capacity on work that technology should be doing.

We started by building intelligent automation programmes for travel and hospitality enterprises, embedding engineers directly into operational teams, learning where the exceptions live, understanding how operations actually work versus how requirements documents describe them. Over a decade, we expanded across Mobility, Ports and Logistics, developed proprietary delivery accelerators, invested in platform companies and built two industry Centers of Excellence.

Today we architect and deploy Agentic AI systems that connect existing enterprise systems, helping operations, data and engineering teams detect issues faster, make timely decisions at scale and run without the manual coordination overhead that constrains growth.

"We lead with data, act with purpose, build with scale in mind."

Sanjeev Sethi — Founder & CEO, Infarsight

Our journey — 11 years of building
2014

Founded in USA

Princeton, New Jersey — Infarsight Ideation Inc. established with a focus on intelligent automation for enterprise operations.

2015

Travel vertical

First Travel practice and enterprise clients. Embedded in TMC and DMC operations across the Middle East and North America.

2016

Regional expansion

Strategic investment and expansion across the GCC region. Travel operations programmes scale across Saudi Arabia and UAE.

2018

Intelligent Automation practice

200+ automation programmes launched. UiPath, Power Automate and Appian practices formalised across Travel, Hospitality and Ports.

2020

Data Engineering practice

Databricks and Microsoft Fabric partnerships established. Condense data platform concept begins.

2021

Ports vertical

Ports & Logistics practice launched. Adani Ports & Logistics and Ports America engaged as flagship clients.

2022

Agentic AI practice

LLM-powered operational agents in production. Decision Intelligence and Digital Twin programmes formalised.

2023

UAE office launch

Middle East HQ opened in Dubai. Regional delivery footprint expanded to support GCC-based enterprise clients.

2024

Delivery Accelerators launched

Condense, TripSight, TaskSight and AssetSight released as deployable products. TripSight 3.0 launched at tripsight.ai.

2025

Mobility COE India

CommandSight and DecisionSight released. Bosch MPS strategic partnership formalised for global mobility programmes.

How we work

Three engagement models.
One accountable team.

MODEL 01

Embedded Team

When you need engineering depth inside your ops team. Infarsight engineers attend your standups, own your systems and ship alongside your team, every day. Not a vendor, a member of the team.

Best for: growing operations teams, digital transformation programmes
MODEL 02

Center of Excellence

When you need a dedicated engineering capability unit. A fully managed CoE, engineers, architects and QA, running long-term platform programmes with full governance, documentation and knowledge transfer.

Best for: enterprise-scale programmes, capability building mandates
MODEL 03

Outcome-Owned Delivery

When you need a defined result, not a team on retainer. Fixed-scope engagements with defined outcomes, we own the system, the quality and the operational result. Measured in decisions automated and outcomes achieved.

Best for: accelerator deployments, defined automation programmes
Credentials

Verified partnerships and operational track record.

CERTIFICATIONS
  • ISO 27001:2018 — Information Security Management
  • ISO 9001:2015 — Quality Management System
  • ISO 14001:2015 — Environmental Management
TECHNOLOGY PARTNERS
  • Microsoft Solutions Partner
  • Databricks Technology Partner
  • Optimizely Partner
STRATEGIC PARTNERS
  • Bosch Mobility Platform & Solutions
  • Zeliot — IoT & Telematics (invested)
  • Condense — Zeliot real-time data platform (Infarsight investment)
CLIENT METRICS
  • 91.2 Net Promoter Score
  • 85% Employee retention
  • 7+ year average client tenure
  • 200+ team members and 4 proprietary IPs
Notable clients · includes clients from portfolio companies
Hyatt Hotels & ResortsPorts AmericaAdani Ports & LogisticsAmadeusTrisept SolutionsBoschVolvoAshok LeylandEicherRoyal Enfield

"Partnering with Infarsight has been a game changer for us. Their automation capabilities have not only streamlined our processes but also fuelled innovation, allowing us to bring new solutions to market faster than ever. Their approach has truly accelerated our digital transformation, driving both efficiency and growth."

Anderson Hernandez — SVP Contact Centers & Operations, Hyatt Hotels & Resorts · 91.2 NPS

Ready to run your operations with AI?

We begin with an Operational Intelligence Assessment, mapping your systems, identifying decision gaps and designing the architecture that connects data, decisions and outcomes.

Company

Brand Kit

Logos, colour palette, typography and usage guidelines for the Infarsight brand.

Logo

The Infarsight mark.

Infarsight logo — dark version
Dark / On white
Infarsight logo — white version
White / On dark
Colour Palette
Infarsight Black
#0A0A0A
Infarsight Blue
#3979E7
Surface Grey
#F7F7F7
White
#FFFFFF
Typography
Inter
Primary typeface · Google Fonts · Weights 300–900
H1 — 800 weight · −0.04em tracking
H2 — 700 weight · −0.03em tracking
H3 — 600 weight · −0.02em tracking
Body — 400 weight · 1.7 line height · rgba(10,10,10,0.5)
LABEL — 600 weight · 0.1em tracking · uppercase · blue

Need brand assets, logo files or usage guidance? Get in touch with our team.

Careers

Build AI that runs
the world's operations.

120+ engineers, three continents, one mission — make enterprise operations intelligent. We work on real systems that handle millions of decisions for airlines, ports, fleets and travel companies every day.

120+
Team members globally
85%
Employee retention
3
Global offices
10+
Years of growth
Why Infarsight

We build things that matter.
You'll own what you build.

Real operational impact

You will work on production AI systems that handle millions of decisions across airlines, ports, fleets and enterprise operations. When your agent resolves a travel disruption in 90 seconds, a real person makes their flight.

End-to-end ownership

We are architecture-led. Engineers own delivery from data infrastructure through agentic AI systems to production operations. You don't hand off at go-live — you stay accountable for what you build.

Deep domain exposure

With 7+ year average client tenure, you build genuine expertise in Travel, Mobility or Logistics — not just engineering in the abstract. You understand the domain, the systems and the operators who depend on them.

Flexible remote-first work

Most roles are fully remote or hybrid. We have offices in Princeton NJ, Dubai and India — but we judge on outcomes, not office attendance. You work where you do your best engineering.

Global teams, real partnerships

You will work alongside engineers in three time zones, with partners at Bosch, Microsoft and Databricks. Infarsight's client work puts you inside Hyatt, Ports America, Volvo and Amadeus — not at arm's length.

Continuous learning

Agentic AI is moving fast. We invest in learning — internal knowledge sharing, partner certifications (Microsoft, Databricks), and the natural education that comes from working on genuinely hard engineering problems.

🇺🇸
Princeton, NJ
HQ · GTM · Leadership
🇦🇪
Dubai, UAE
Travel COE · Partnerships
🇮🇳
India
Engineering · Mobility COE
Open roles

Current opportunities.

All roles are open to remote or hybrid candidates unless otherwise stated. We are building across every engineering practice simultaneously.

Engineering
Senior Data Engineer
Data Engineering · India · Full-time
AI / ML
Agentic AI Engineer
Agentic AI · India / USA · Full-time
Architecture
Solutions Architect — Travel COE
Travel COE · UAE / India · Full-time
Platform
Platform & DevSecOps Engineer
Platform Operations · India · Full-time
Automation
Intelligent Automation Lead
Intelligent Automation · India / UAE · Full-time
Integration
Amadeus Integration Engineer
Travel COE · India / UAE · Full-time
Integration
Sabre Integration Engineer
Travel COE · India / UAE / USA · Full-time
Leadership
Principal Architect
Engineering Leadership · USA / UAE / India · Full-time
Engineering
Junior Full Stack Developer
Product Engineering · India · Full-time
Don't see your role?
We're always looking for exceptional engineers and operators. Send us your profile.
Resources

Resources: Research, Frameworks and AI Operations Intelligence.

Practical frameworks, engineering insights and operational research from Infarsight — covering Agentic AI, Data Engineering, Decision Intelligence, Travel Automation and Mobility Operations.

Topics covered in Infarsight Insights

Agentic AI for enterprise operations · Data engineering services · Intelligent automation · Decision intelligence systems · Travel operations automation · Corporate travel AI · AI for TMCs and travel agencies · Airline disruption management · DMC and tour operator AI · Fleet operations intelligence · EV charging network AI · Port operations automation · AI for logistics · Integration services for travel and hospitality · Enterprise automation frameworks
Agentic AI

The Execution Gap: Why Enterprise Data Doesn't Drive Decisions

Most enterprises have invested heavily in data infrastructure, yet still cannot make decisions at the speed their operations demand.

Coming soon
Data Engineering

Decision-Ready Data: The 4C Framework for Operational Intelligence

Current, clean, connected and contextual, what it actually means to build data infrastructure that drives operational decisions.

Coming soon
Operations

How AI Agents Are Reshaping Port Operations in 2026

From berth scheduling to gate throughput, how AI-assisted operations are eliminating the delays that compound into demurrage costs.

Coming soon
More insights coming soon.

We're publishing our thinking on Agentic AI, Decision Intelligence and operational transformation. Stay updated.

Company

Frequently Asked Questions

Everything you need to know about agentic AI for enterprise operations — Travel, Mobility, Logistics, Ports and beyond.

Agentic AI for Enterprise Operations
What is agentic AI for enterprise operations?

Agentic AI for enterprise operations refers to AI systems that autonomously monitor operational signals, evaluate options against business constraints and execute decisions across connected enterprise systems — without requiring manual intervention for each step.

Unlike reporting tools or dashboards that surface insights for humans to act on, agentic systems close the loop automatically: rerouting logistics, resolving booking exceptions, reallocating fleet assets, adjusting berth schedules and escalating only the decisions that genuinely require human judgement.

Infarsight builds agentic AI systems across three domains: Travel and Hospitality, Mobility and Transportation, and Logistics and Ports. Every system is built on a connected stack — data engineering provides the operational signals, agentic AI evaluates and decides, and product engineering platforms execute the action.

How does agentic AI differ from standard AI or machine learning?

Standard AI and machine learning systems produce predictions or recommendations — they tell you what is likely to happen or what action to consider. A human still has to read the output and decide what to do. Agentic AI goes further: it perceives the current operational state, reasons about the options, selects an action and executes it across connected systems automatically.

The distinction matters in operations. When a vessel ETA shifts by 38 minutes, a predictive model will flag the disruption. An agentic AI system will re-optimise berth allocation, reschedule yard operations, notify the relevant terminal teams and update the port management system — all within seconds and without a human in the loop for each step.

Infarsight builds agentic systems that are production-grade, not demos. All agents are auditable, have defined escalation paths and operate within business-defined constraint boundaries.

What is decision intelligence and how does it relate to agentic AI?

Decision intelligence is the capability layer that sits between operational data and automated action. It encompasses signal detection (identifying when something requires a decision), option generation (evaluating possible responses against constraints), decision selection (choosing the optimal action based on defined priorities) and execution routing (triggering the action in the relevant system).

Agentic AI is the implementation of decision intelligence at scale. Infarsight's DecisionSight accelerator provides the pre-built decision intelligence framework — signal models, constraint libraries, scenario simulation and escalation routing — that can be configured for Travel, Logistics, Ports and Fleet operations without rebuilding from scratch.

What does an agentic AI engineering engagement with Infarsight look like?

Every engagement begins with an operational assessment — Infarsight engineers map your current systems, identify the decision points where automation would deliver the highest value and quantify the operational and commercial impact. This is not a consulting exercise; it produces a specific engineering blueprint.

From there, Infarsight embeds engineers directly into your operational environment, builds the data foundation, constructs and tests the agents in your actual systems and remains accountable for production performance. Typical time to first agent in production ranges from 6 to 12 weeks depending on data readiness. Infarsight does not hand over at go-live — embedded teams continue to operate and improve the systems post-deployment.

Travel Operations AI
What is corporate travel automation and how does it work?

Corporate travel automation uses agentic AI to handle the end-to-end processing of offline travel requests — the requests that arrive via email, Slack, Microsoft Teams or WhatsApp and currently require an agent to manually query a GDS, check policy compliance, build an itinerary and confirm the booking.

Infarsight TripSight automates this entire sequence. When a request arrives, TripSight parses the intent, queries Amadeus, Sabre or Travelport GDS systems, checks the traveller's policy profile, generates compliant itinerary options and either confirms automatically or routes for approval — all without manual agent involvement. Request-to-book turnaround reduces from 23 minutes to 3.4 minutes. Agent clicks per request reduce from 172 to 1.

TripSight is deployed for TMCs handling high volumes of corporate offline requests, corporate travel departments and OTAs managing complex multi-segment itineraries.

What is travel disruption management automation and IRROPS handling?

IRROPS (irregular operations) are the flight delays, cancellations, misconnections and crew disruptions that cascade through travel itineraries. Standard industry processing involves agents manually identifying affected passengers, querying available alternatives, evaluating policy constraints and executing rebookings — a process that averages 30 or more minutes per disruption event at scale.

Travel disruption management automation uses agentic AI to detect IRROPS events in real time from airline data feeds, evaluate rebooking options against passenger tier, policy and availability, execute the optimal rebooking automatically and notify affected passengers — completing the entire loop in under 2 minutes.

Infarsight's Decision Intelligence platform handles IRROPS automation for airlines, TMCs and DMCs. It integrates with GDS systems (Amadeus, Sabre, Travelport), airline APIs and NDC channels to access live inventory during disruption resolution.

What travel segments does Infarsight serve?

Infarsight serves eight travel segments with purpose-built agentic AI and engineering capability:

  • Airlines — carrier operations, IRROPS management, crew coordination and gate intelligence
  • Travel Management Companies (TMCs) — corporate travel booking automation, policy compliance and offline request processing
  • Destination Management Companies (DMCs) — programme coordination, supplier confirmation and ground operations intelligence via JourneySight
  • Online Travel Agencies (OTAs) — booking flow optimisation, ancillary automation and customer service AI
  • Hotels and Resorts — yield optimisation, guest journey automation and post-stay operations
  • Tour Operators — pre-departure risk detection, margin protection and departure management
  • Travel Agencies — GDS workflow automation and booking operations
  • All-Inclusive Resort Groups — multi-property operational intelligence and guest experience automation

Reference travel clients include Hyatt Hotels and Resorts, Trisept Solutions, Amadeus and multiple undisclosed TMCs and airline programmes.

Which GDS platforms does Infarsight integrate with?

Infarsight integrates with all three major Global Distribution Systems: Amadeus, Sabre and Travelport. Integration patterns include GDS querying for availability and pricing, PNR creation and modification, ticketing, refunds and schedule change handling.

Beyond GDS, Infarsight also integrates with NDC (New Distribution Capability) airline APIs, hotel property management systems (Opera, Mews, Cloudbeds), car rental systems and ground operator platforms. All integrations are built to be observable, retry-safe and auditable — critical requirements for operational travel systems where a failed integration has direct passenger impact.

Port Terminal Operations AI
What is AI for port terminal operations?

AI for port terminal operations applies real-time data intelligence and agentic decision-making to the physical and logistical complexity of port operations — berth allocation, container yard management, equipment deployment, gate throughput and vessel scheduling.

Traditional port operations rely on planners manually reconciling vessel ETAs, berth capacity, yard state and equipment availability. When a vessel ETA shifts by 38 minutes, the downstream re-planning — berth reallocation, yard restaging, crane resequencing — can take hours and still leave sub-optimal outcomes.

Infarsight's port operations AI ingests live AIS vessel tracking, berth constraint data, yard sensor feeds and equipment telemetry to continuously optimise allocation decisions. When ETAs change, the system re-optimises the entire berth schedule and yard plan automatically in under 10 seconds. This reduces demurrage by up to 30% and accelerates cargo turnaround by up to 25%. Infarsight has deployed port operations AI for Ports America and Adani Ports and Logistics.

What is berth scheduling AI and how does it reduce demurrage?

Berth scheduling AI uses real-time vessel AIS data, tide windows, berth dimensions, crane availability and yard capacity to continuously optimise the sequence and timing of vessel berthing. Unlike static scheduling systems that create a plan at the start of the day, AI-driven berth scheduling recalculates continuously as conditions change.

Demurrage — the cost incurred when a vessel waits beyond its contracted berth window — is directly caused by scheduling failures: vessels arriving to find their berth occupied, equipment not ready or yard blocks not cleared. AI berth scheduling eliminates the manual re-planning delays that allow these situations to develop, ensuring the physical operation is always aligned to the live vessel schedule.

Infarsight's berth scheduling AI delivers up to 30% reduction in demurrage costs and up to 99% cargo SLA compliance for tier-1 port terminal operators.

What is a digital twin for port and terminal operations?

A digital twin for port operations is a continuously updated virtual replica of the physical terminal — live berth positions, container yard state, equipment locations, gate throughput and vessel queue — that updates in real time from operational data feeds. It is the single source of operational truth for the terminal.

The digital twin serves two roles simultaneously: it provides operational visibility (every planner sees the same live picture of the terminal state) and it is the data foundation that agentic AI systems use to reason about optimisation decisions. You cannot build reliable port AI without a reliable digital twin underneath it.

Infarsight builds port digital twins using live data from AIS feeds, terminal operating systems, IoT sensors and equipment telemetry, delivered through the Condense real-time data platform. The twin underpins all downstream agentic applications — berth scheduling, yard optimisation, anomaly detection and SLA monitoring.

Fleet Operations AI & Mobility Intelligence
What is fleet operations AI?

Fleet operations AI uses real-time telematics, predictive models and agentic decision-making to automate and optimise the core decisions in fleet management: dispatch, routing, maintenance scheduling, fuel management and driver behaviour monitoring.

Unlike traditional fleet management systems that report on what has happened, fleet operations AI acts on what is happening — detecting a vehicle health anomaly before it becomes a breakdown, reassigning a route when traffic patterns shift, scheduling preventive maintenance at the optimal moment to minimise downtime and rerouting deliveries when a vehicle is removed from service.

Infarsight's AssetSight platform delivers fleet operations AI across commercial fleets, logistics operators and automotive OEM after-sales programmes. Outcomes include 34% fuel reduction, 97% on-time dispatch reliability and up to 16% higher fleet utilisation. Deployed for Volvo, Ashok Leyland, Eicher and Royal Enfield.

What is predictive vehicle maintenance AI?

Predictive vehicle maintenance AI analyses real-time telemetry from vehicle sensors and CAN bus data to detect anomalies in engine behaviour, transmission, braking systems and electrical components — identifying developing faults 24 to 72 hours before they result in breakdown or failure.

The commercial value is significant: unplanned breakdown in a commercial fleet costs 2 to 3 times more than scheduled maintenance, and vehicle downtime in fleet-dependent operations directly translates to missed deliveries, failed SLAs and compensation costs. Predictive maintenance converts unplanned events into scheduled maintenance windows.

Infarsight builds predictive maintenance systems on top of real-time telematics data pipelines, using anomaly detection models trained on vehicle-specific fault signatures. The Condense platform by Zeliot provides the real-time IoT data ingestion layer that feeds these models with continuous vehicle data at scale.

What is EV fleet intelligence and how does Infarsight support EV operators?

EV fleet intelligence applies real-time data and AI to the specific operational challenges of electric vehicle fleets: charging demand forecasting, charger health monitoring, battery state of charge tracking, range anxiety mitigation and charge scheduling optimisation.

Managing an EV fleet introduces constraints that do not exist in ICE fleets — charging availability, charging time windows, battery degradation curves and grid demand pricing all interact to make dispatch and route planning significantly more complex. EV fleet intelligence systems optimise across all of these constraints simultaneously.

Infarsight works with automotive OEMs and fleet operators on EV intelligence programmes through its Bosch Mobility Solutions partnership and its Mobility Centre of Excellence in India. The Condense real-time data platform from Zeliot provides the IoT telemetry foundation for EV charging network monitoring and battery analytics.

What is the Bosch MPS partnership and what does it mean for mobility clients?

Infarsight is a strategic engineering partner to Bosch Mobility Solutions (MPS) — the Bosch division responsible for connected vehicle systems, software-defined vehicle platforms and automotive software engineering. The partnership gives Infarsight clients access to Bosch's automotive technology ecosystem, including L-OS (Logistics OS), D-OS (Driver OS) and EV-OS platform components.

For mobility and automotive OEM clients, this means Infarsight can deliver AI, data engineering and software engineering that is natively integrated with Bosch's vehicle software platforms — without the complexity of bridging between incompatible technology stacks. Infarsight provides the data layer, AI layer and software engineering; Bosch provides the vehicle software platform.

Active Bosch partnership engagements include connected vehicle programmes for major OEMs and fleet intelligence deployments across the Indian subcontinent and Europe.

Engineering Services & Data Engineering
What data engineering services does Infarsight provide?

Infarsight data engineering services span seven practice tracks, all oriented toward making operational data decision-ready in real time:

  • Real-time streaming pipelines — Condense (Zeliot), Apache Kafka, AWS Kinesis, Google Cloud Pub/Sub
  • Data quality governance — completeness scoring, anomaly detection, SLA-based alerting and lineage tracking
  • IoT and edge data capture — vehicle telematics, port sensors, industrial equipment and environmental monitoring
  • Data modernisation and migration — legacy warehouse migration to Microsoft Fabric, Databricks and Snowflake
  • Analytics enablement — semantic models, self-serve analytics and operational dashboarding
  • Master data management — entity resolution, reference data governance and data product design
  • BAU platform operations — 24/7 pipeline monitoring, incident response and compliance auditing

All programmes use embedded engineers who remain accountable for data quality and platform performance after go-live — Infarsight does not hand over and walk away.

What intelligent automation services does Infarsight offer and how is it different from basic RPA?

Basic RPA automates deterministic, rule-based steps in a single system. It breaks the moment an exception occurs or a screen layout changes. Infarsight's intelligent automation adds an AI layer that handles unstructured inputs, makes contextual decisions and orchestrates workflows across multiple enterprise systems simultaneously.

Where RPA routes an exception to a human queue, AI-augmented automation detects the exception pattern, evaluates resolution options, selects the appropriate action and either resolves it automatically or escalates with full context attached — dramatically reducing the number of exceptions that actually reach a human agent.

Infarsight has delivered 200+ intelligent automation programmes across Travel, Ports, Mobility and Airlines on Microsoft Power Automate, Appian and ServiceNow. Enterprise integration is handled by Infarsight's dedicated Integration practice, which covers GDS, NDC, PMS, IoT, SCADA and API patterns across 50+ integration templates.

What is Condense and how does it support agentic AI and real-time operations?

Condense is the real-time IoT and operational data streaming platform built by Zeliot, a company in which Infarsight holds a minority investment. It provides the data foundation layer for Infarsight's Mobility, Fleet and Logistics engineering programmes.

Agentic AI systems require continuous, clean, contextualised operational data to perceive, reason and act correctly. Without a reliable real-time data layer, agents operate on stale or incomplete information — producing decisions that are correct for a state that no longer exists. Condense ensures that the data flowing into Infarsight's AI agents is current, connected and contextual.

Condense is not positioned as a standalone competing platform. It is embedded as a "Powered by Condense" delivery accelerator within Infarsight engineering engagements, reducing pipeline build time and improving operational data quality from day one of deployment.

About Infarsight
How does Infarsight differ from a standard IT services or consulting company?

Three differences separate Infarsight from standard IT services and consulting firms.

Domain depth over generic delivery. Infarsight operates in Travel, Mobility and Logistics — not every industry. This means the engineering team already understands the operational context, the systems landscape, the integration patterns and the failure modes before the engagement begins. Generic IT firms learn your industry on your time and budget.

Embedded accountability, not handover. Infarsight engineers embed directly into client operations and remain accountable for the systems they build — monitoring, operating and improving them post go-live. The commercial model is built around outcomes, not deliverables. Infarsight measures success in decisions automated, revenue protected and operational hours returned.

A connected stack, not isolated capabilities. Data Engineering, Agentic AI, Intelligent Automation, Product Engineering, Platform Operations and Integration are designed to work together. Clients do not have to integrate outputs from six different vendors — one engineering partner owns the complete operational intelligence stack. 91.2 NPS from 30+ enterprise clients across three continents.

Which enterprise clients has Infarsight worked with?

Infarsight has delivered programmes for 30+ enterprise clients across North America, the Middle East, Europe and Asia-Pacific. Reference clients include:

  • Hyatt Hotels and Resorts — contact centre and operations automation (SVP-level engagement)
  • Ports America — port terminal operations intelligence
  • Adani Ports and Logistics — port AI and logistics operations
  • Trisept Solutions — travel technology and operations
  • Amadeus — travel technology integration engineering
  • Bosch — mobility software and connected vehicle programmes
  • Volvo, Ashok Leyland, Eicher, Royal Enfield — fleet intelligence and automotive AI

Infarsight holds a 91.2 Net Promoter Score and 85% employee retention rate — both independently measured indicators of delivery accountability and team stability.

Where is Infarsight headquartered and where does it operate?

Infarsight Ideation Inc. is headquartered in Princeton, New Jersey, USA (Suite 300, 5 Independence Way, Princeton NJ 08540). The company operates regional offices in Dubai, UAE and India, where the Mobility Centre of Excellence — a 50+ person team focused on Fleet, EV and Automotive AI — is based.

Infarsight serves clients across North America, the Middle East, Europe and Asia-Pacific. Contact the team at info@infarsight.com or +1 865 424 0205.

How do I start a conversation with Infarsight?

Every engagement begins with an Operational Intelligence Assessment — a structured conversation where Infarsight engineers map your current systems and operational environment, identify the decisions being made manually that AI could handle and quantify the potential commercial impact. This assessment is not a sales pitch. It produces a specific engineering recommendation and an honest view of where agentic AI would and would not add value in your operations.

To request an assessment, contact the team directly at info@infarsight.com or book through the contact page.

Have a question that is not answered here?

Talk directly with an Infarsight engineer about your operational context.

Engineering Data Engineering · India · Full-time

Senior Data Engineer

Build and own real-time data pipelines that power agentic AI decision systems across Travel, Mobility and Logistics operations.

About the role

You will architect and operate production-grade data pipelines for enterprises where data latency directly translates into operational cost. Your pipelines feed Infarsight's agentic AI agents — fleet dispatch, port berth scheduling, travel disruption resolution — in real time.

What you will do
  • Design and build real-time streaming pipelines on Condense, Apache Kafka, AWS Kinesis and Google Cloud Pub/Sub
  • Define and enforce data quality governance frameworks across operational data domains
  • Architect IoT and edge data capture from vehicle telematics, port sensors and industrial equipment
  • Lead data modernisation programmes migrating legacy warehouses to Microsoft Fabric and Databricks
  • Own BAU pipeline operations including 24/7 monitoring, incident response and SLA reporting
  • Collaborate directly with agentic AI engineers to ensure signal quality meets decision model requirements
What we need
  • 5+ years in data engineering with production streaming systems (Kafka, Kinesis or Pub/Sub)
  • Strong Python and SQL — you write the pipeline and the tests
  • Experience with at least one cloud data platform: Databricks, Microsoft Fabric or Snowflake
  • Familiarity with IoT data patterns, schema evolution and late-arriving data handling
  • Comfortable owning production systems end-to-end — you don't hand off at go-live
Nice to have
  • Travel or Mobility domain exposure
  • Experience with dbt, Great Expectations or similar data quality tooling
  • Exposure to Condense or Zeliot platform
Stack
PythonKafkaDatabricksMicrosoft FabricAWS / GCPdbtAirflow
Ready to apply?

Share your CV and a brief note on why this role and why now. We read every application.

AI / ML Agentic AI · India / USA · Full-time

Agentic AI Engineer

Design and ship multi-agent AI systems that autonomously resolve operational disruptions without manual intervention.

About the role

This is not a prompt engineering role. You will build production agentic systems that perceive operational state, reason under constraints and execute decisions across live enterprise systems. Agents you build will close travel disruptions in under 2 minutes, reallocate fleet assets in real time and re-sequence port berth plans when vessel ETAs shift.

What you will do
  • Architect multi-agent pipelines using LangGraph, AutoGen or custom orchestration patterns
  • Define agent perception layers connecting live operational data signals to reasoning models
  • Build constraint-aware decision engines that respect SLAs, policies and business rules
  • Integrate agents with GDS (Amadeus, Sabre), TMS, TOS and fleet management APIs
  • Design escalation and human-in-the-loop paths for decisions that require approval
  • Instrument agents for observability — trace every decision, every tool call, every escalation
What we need
  • 3+ years in ML or AI engineering with at least one production agent deployment
  • Strong Python — you build the agent, the evals and the deployment pipeline
  • Experience with LLM orchestration frameworks: LangChain, LangGraph, AutoGen or CrewAI
  • Understanding of tool use, function calling and structured output patterns
  • Production debugging mindset — agents fail in unpredictable ways and you need to find why
Nice to have
  • GDS or travel system API experience (Amadeus, Sabre, Travelport)
  • Fleet telematics or IoT signal processing background
  • Experience evaluating agent reliability and hallucination risk in operational contexts
Stack
PythonLangGraphOpenAI / Anthropic APIsFastAPIRedisPostgresAzure AI Foundry
Ready to apply?

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Architecture Travel COE · UAE / India · Full-time

Solutions Architect — Travel COE

Own the technical architecture for Infarsight's Travel Centre of Excellence across GDS, PMS, NDC and airline systems.

About the role

You will be the architectural authority for Infarsight's travel technology stack, working directly with TMCs, airlines, DMCs and OTA clients to translate operational requirements into scalable integration and AI architectures.

What you will do
  • Define reference architectures for travel operations automation across TMC, airline and DMC contexts
  • Lead GDS integration programmes — Amadeus, Sabre and Travelport — including NDC and Offer & Order patterns
  • Architect TripSight and TaskSight deployments for enterprise travel clients
  • Conduct pre-sales technical discovery and produce solution briefs
  • Define API contracts and integration patterns across PMS, CRS, CRM and OBT systems
  • Mentor solutions engineers and serve as escalation point for complex travel integrations
What we need
  • 7+ years in travel technology with hands-on GDS integration experience
  • Strong understanding of NDC, ONE Order, IATA messaging standards
  • Architecture-level thinking — you can design the system and explain the trade-offs
  • Experience delivering enterprise integration programmes end-to-end
  • Excellent client-facing communication — you can run a technical discovery with a CTO
Nice to have
  • Exposure to agentic AI or LLM-powered workflow automation
  • Experience with IRROPS handling systems
  • TMC operations or airline carrier operations background
Stack
Amadeus APIsSabre APIsNDC / ONE OrderREST / SOAPAzureNode.js / Python
Ready to apply?

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Platform Platform Operations · India · Full-time

Platform & DevSecOps Engineer

Own the reliability, security and observability of Infarsight's production platforms across Azure, AWS and GCP.

About the role

Infarsight runs production AI systems for enterprises where platform downtime means missed flights, delayed shipments and unresolved disruptions. You will be the engineering guardian of that uptime.

What you will do
  • Design and operate CI/CD pipelines for agentic AI, data and product engineering deployments
  • Build AI-assisted monitoring and alerting stacks
  • Implement DevSecOps practices: SAST, DAST, container scanning and secrets management
  • Own FinOps governance across Azure, AWS and GCP
  • Define and enforce cloud security posture and compliance frameworks
  • Conduct post-incident reviews and drive permanent remediation
What we need
  • 4+ years in platform or SRE roles with multi-cloud production experience
  • Strong Terraform or Pulumi — infrastructure is code
  • Experience with Kubernetes on AKS, EKS or GKE
  • Security-first mindset — you find the vulnerability before the audit does
Nice to have
  • Experience securing AI/ML workloads or LLM API deployments
  • FinOps certification
  • Exposure to SOC 2, ISO 27001 or PCI DSS
Stack
TerraformKubernetesAzure / AWS / GCPGitHub ActionsDatadogVaultSnyk
Ready to apply?

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Automation Intelligent Automation · India / UAE · Full-time

Intelligent Automation Lead

Lead AI-augmented automation programmes across Travel, Ports and Mobility — moving beyond RPA into multi-system orchestration.

About the role

You will own the intelligent automation practice for client engagements where process complexity and exception volume make standard RPA insufficient.

What you will do
  • Lead discovery workshops to identify automation opportunities and quantify ROI
  • Design automation architectures combining RPA, AI classification and workflow orchestration
  • Build and govern automation programmes on Power Automate, Appian and ServiceNow
  • Define exception handling strategies — automated resolution where possible
  • Mentor junior automation engineers
  • Manage client stakeholders from blueprint sign-off to BAU handover
What we need
  • 5+ years in RPA or intelligent automation with enterprise-scale programme delivered
  • Experience with Power Automate, UiPath or Appian at delivery level
  • Ability to design automation that handles unstructured inputs and multi-step exception paths
  • Strong stakeholder management — you can run a delivery review with a COO
Nice to have
  • Travel operations or port logistics domain experience
  • Exposure to LLM-powered document processing
  • Experience integrating automation with GDS, ERP or fleet management systems
Stack
Power AutomateAppianServiceNowUiPathAzure Logic AppsPython
Ready to apply?

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Integration Travel COE · India / UAE · Full-time

Amadeus Integration Engineer

Build and maintain deep Amadeus GDS integrations — shopping, booking, ticketing, disruption handling and NDC — for enterprise travel automation.

About the role

Infarsight is building agentic AI systems that operate directly inside Amadeus. You will build the integration layer that connects TripSight and our decision intelligence systems to Amadeus APIs with enterprise-grade reliability.

What you will do
  • Implement and maintain Amadeus REST and SOAP API integrations across shopping, pricing, booking and ticketing
  • Build NDC Offer & Order integrations for airline direct connect programmes
  • Design retry-safe, observable integration wrappers for high-volume GDS traffic
  • Implement PNR management, fare rules handling, schedule change processing and IRROPS rebooking flows
  • Work with agentic AI engineers to expose GDS capabilities as reliable agent tools
  • Maintain integration test suites covering booking, modification and refund paths
What we need
  • 3+ years of hands-on Amadeus API integration experience
  • Strong understanding of GDS booking workflows — PNR structure, ticketing, refund and exchange
  • Solid REST and SOAP API development in Python, Node.js or Java
  • Experience building transactional integrations where failure has direct financial impact
Nice to have
  • Amadeus NDC certification or live NDC integration experience
  • Sabre or Travelport integration background
  • Experience with Amadeus Self-Service APIs
Stack
Amadeus REST APIsAmadeus SOAP / Web ServicesNDCPython / Node.jsPostmanRedis
Ready to apply?

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Integration Travel COE · India / UAE / USA · Full-time

Sabre Integration Engineer

Own Sabre GDS integrations across air, hotel and car — enabling TripSight to operate reliably inside Sabre's booking ecosystem.

About the role

Infarsight's TripSight platform automates corporate travel booking inside Sabre for TMC and OTA clients. You will build the integration layer that makes that work at production scale.

What you will do
  • Implement and maintain Sabre REST and SOAP API integrations: BargainFinderMax, EnhancedAirBook, PassengerDetails
  • Build hotel, car and ancillary content integrations
  • Design observable, retry-safe wrappers for Sabre API traffic
  • Implement PNR lifecycle management — creation, modification, ticketing, void, refund and exchange
  • Support Sabre Red 360 and SynXis integrations for hospitality clients
  • Contribute to integration test coverage — unit, contract and end-to-end
What we need
  • 3+ years of production Sabre API integration (SWS or REST)
  • Strong understanding of GDS PNR structure, ticketing workflows and fare basis handling
  • Python, Node.js or Java at professional level
  • Experience debugging GDS integration issues in production
Nice to have
  • Sabre Developer Network certification
  • Amadeus or Travelport additional GDS experience
  • Sabre Red 360 or hospitality integration background
Stack
Sabre REST APIsSabre SWSBFM / EnhancedAirBookPython / Node.jsXML / JSONRedis
Ready to apply?

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Leadership Engineering Leadership · USA / UAE / India · Full-time

Principal Architect

Define Infarsight's engineering architecture across data, agentic AI and product engineering — setting the technical direction that 120+ engineers execute against.

About the role

As Principal Architect, you will own the technical vision for how Infarsight builds. You will define reference architectures across six engineering practices, establish engineering standards, lead pre-sales for complex engagements and be the technical authority that clients trust and engineers respect.

What you will do
  • Define and evolve Infarsight's reference architectures across data engineering, agentic AI, automation and product engineering
  • Lead architectural reviews for all new client engagements
  • Partner with the CEO and GTM team on strategic technical positioning and pre-sales
  • Establish and enforce engineering standards: code quality, security, observability and reliability
  • Represent Infarsight at CIO/CTO level with enterprise clients
  • Identify and drive adoption of emerging technologies
What we need
  • 12+ years in software engineering with at least 4 years in architecture or technical leadership
  • Demonstrated depth across multiple practices: data, AI/ML, platform, integration or product engineering
  • Track record of defining architecture for enterprise systems at production scale
  • Exceptional written and verbal communication — you can author a technical RFC and present it to a board
  • Experience in a consulting or services environment where credibility with clients is earned by depth
Nice to have
  • Domain experience in Travel, Mobility or Logistics operations
  • Previous experience scaling an engineering team from 50 to 200+
  • Published technical content, conference talks or open source contributions
Stack
Architecture-agnostic — Azure / AWS / GCP, AI/ML systems, data platforms
Ready to apply?

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Engineering Product Engineering · India · Full-time

Junior Full Stack Developer

Build the interfaces and APIs that make Infarsight's operational AI visible and actionable — dashboards, command centers and workflow tools.

About the role

This is a role for a developer who wants to grow fast in a real production environment. You will build full-stack features for TripSight, TaskSight and CommandSight, working alongside senior engineers who take mentorship seriously. You will ship to production in your first month.

What you will do
  • Build React front-end components for operational dashboards and workflow management interfaces
  • Develop and maintain REST APIs using Node.js or Python FastAPI
  • Write unit and integration tests — you own the quality of your own code
  • Participate in architecture and code reviews — you are expected to have opinions
  • Debug production issues quickly and carefully — these are live enterprise systems
  • Continuously improve your own engineering craft through code review, pairing and self-study
What we need
  • 1+ years of professional development experience or a strong portfolio of real projects
  • Solid JavaScript / TypeScript — React on the front, Node.js or Python on the back
  • Understanding of REST APIs, relational databases and basic cloud deployment concepts
  • A genuine desire to learn quickly and build things that work in production
Nice to have
  • Any exposure to real-time data or WebSocket-based UI patterns
  • Familiarity with Tailwind CSS or similar utility-first frameworks
  • Curiosity about AI systems
Stack
ReactTypeScriptNode.jsPython / FastAPIPostgreSQLAzureGit
Ready to apply?

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Engineering Data Engineering · India

Apply — Senior Data Engineer

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AI / ML Agentic AI · India / USA

Apply — Agentic AI Engineer

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Architecture Travel COE · UAE / India

Apply — Solutions Architect — Travel COE

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Platform Platform Ops · India

Apply — Platform & DevSecOps Engineer

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Automation Automation · India / UAE

Apply — Intelligent Automation Lead

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Integration Travel COE · India / UAE

Apply — Amadeus Integration Engineer

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Integration Travel COE · India / UAE / USA

Apply — Sabre Integration Engineer

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Leadership Engineering Leadership · USA / UAE / India

Apply — Principal Architect

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Engineering Product Engineering · India

Apply — Junior Full Stack Developer

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Infarsight — Agentic AI Engineering Partner for Enterprise Operations

Infarsight is an agentic AI engineering partner for operationally complex enterprises, headquartered in Princeton, New Jersey, USA, with offices in Dubai, UAE and India. Founded in 2014, the company employs over 120 engineers and serves 30+ enterprise clients with a 91.2 Net Promoter Score. Infarsight delivers six engineering practices — Data Engineering, Agentic AI, Intelligent Automation, Product Engineering, Platform Operations and Enterprise Integration — as a connected operational intelligence stack. The company specialises in corporate travel automation, fleet operations AI, port terminal intelligence, travel disruption management automation, EV fleet intelligence, decision intelligence systems and real-time operational data platforms. Infarsight serves eight travel segments (airlines, TMCs, DMCs, tour operators, OTAs, hotels, resorts, travel agencies), mobility and transportation (fleet operators, EV network providers, automotive OEMs, last-mile logistics companies) and logistics and ports (port terminals, container yards, cargo operations). Reference clients include Hyatt Hotels and Resorts, Ports America, Adani Ports and Logistics, Trisept Solutions, Amadeus, Bosch, Volvo, Ashok Leyland, Eicher and Royal Enfield. Delivery accelerators include TripSight (corporate travel booking automation — 23 minutes to 3.4 minutes, 172 clicks to 1), TaskSight (post-booking workflow orchestration, 6 hours saved per team member per day), AssetSight (fleet intelligence, 34% fuel reduction, 97% on-time dispatch), CommandSight (operational command centers), JourneySight (DMC and tour operator operations) and DecisionSight (decision intelligence). The real-time data platform Condense, built by Zeliot (an Infarsight invested company), powers Infarsight data engineering programmes for Mobility, Fleet and Logistics clients. Strategic partnerships include Microsoft Solutions Partner (Azure, Fabric, AI Foundry, Power Platform, Copilot Studio), Databricks Partner, Google Cloud Partner, Bosch Mobility Solutions strategic engineering partner, and Optimizely Partner.

5 Independence Way, Suite 300 Princeton NJ 08540 US