By Sachin Mohan · AIM Media House
Cognizant, Travelport, and Anthropic announced on May 27, 2026 that they are collaborating to deploy Claude across Travelport's travel retailing and distribution platforms, targeting the structural gap that has opened between how travelers now plan trips using AI tools and what current booking systems can actually interpret and fulfill.
Travelers use AI tools to describe complex trip requirements in natural language including preferred routes, disruption tolerance, and layover preferences. Existing transactional booking systems were not built to analyze that.
The result is that travel agents manually bridge the translation between what a traveler wants and what the booking system can process, a cognitive workload that grows with complexity and costs large travel management companies significant time and money, according to the press release.
Travelport's MCP-based architecture addresses that directly. The Model Context Protocol, developed by Anthropic, allows conversational traveler requests to translate directly into confirmed bookings with live availability. That closes the gap between AI-driven travel intent and a completed transaction.
What the Three-Way Collaboration Delivers The collaboration operates across two distinct layers. The first is infrastructure modernization, Cognizant deploying Claude within its Neuro AI multi-agent accelerator to help Travelport build, test, and maintain software faster.
Claude's large context window analyzes Travelport's existing codebases, surfaces embedded business logic, assists with code development and test creation , and reviews pull requests, compressing delivery cycle times for a platform that serves airlines, hoteliers, travel management companies, and online travel agencies globally.
The second is operational capability for travel agents and TMCs. Travelport's platform will absorb more of the cognitive work agents currently do manually, surfacing relevant options faster, automating exchanges and rebooking, and embedding disruption intelligence into workflows.
An agent managing a business traveler could surface routes with statistically lower disruption risk without manually researching alternatives, according to the press release.
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