Operate travel AI with governance, traceability and human validation.
Generic AI does not understand travel. It does not know fare rules, ticketing conditions, supplier exceptions, NDC specifics or IATA constraints. Deployed without a framework, it produces errors that look like correct answers, which is worse than no answer at all. Travel Intelligence Factory builds AI models tailored to travel, trained on industry data, governed by business rules and validated by people. Rework from poorly governed AI often exceeds the promised productivity gain. We reverse that pattern.
01Our approach
AI models built for travel: clarifying traveller briefs, comparing options with built-in business rules, checking prices and availability in real time, automatically structuring files, and tracing every decision. AI prepares, people decide, with no unchecked errors.
What you get in practice
↗︎Intelligent traveller brief clarification — guided dialogue with historical preferences included
↗︎Option comparison with built-in business rules
↗︎Real-time price and availability checks
↗︎Automatic file structuring
↗︎Full traceability of AI decisions — end-to-end governance
02Key performance indicators
↗︎Time from brief to structured file
↗︎Agent adoption rate — measuring uptake in the field
↗︎Less rework after AI processing
↗︎Margin optimisation per file
03Practical examples
AI that creates rework
A corporate travel business deploys a generic AI assistant to write quotes. Within 3 weeks, agents find that 30% of proposals contain fare rule errors or unavailable options. Correcting them takes longer than writing them manually. We replace it with a model calibrated to actual business rules. Error rate: 2.1%. Agent adoption: 84%.
The never-ending brief
Agents at a premium tour operator spend an average of 45 minutes clarifying each traveller brief. The clarification AI we deploy structures the brief in 8 minutes through guided dialogue, incorporates historical preferences and produces a structured brief ready to process. Time from brief to proposal falls from 45 to 18 minutes.
Manual price checks
A B2B travel manager checks every price manually before ticketing following overcharging incidents. These checks require 2.3 full-time equivalents. We deploy automated verification with discrepancy alerts. Coverage: 100% of files. Capacity freed: 1.8 full-time equivalents. Overcharging incidents: 0 since deployment.