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. Data Engineering →

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. Agentic AI →

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. Intelligent Automation →

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. Integration Services →

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.

Microsoft Partnership →
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.

Azure AI Foundry →
Delivery accelerators

TripSight and TaskSight Cut Deployment Time by 60%.

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

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.

Book a Decision Audit Explore Travel COE