This article is auto-synced from its in-app version in Tai.
TAI turns your booking data and travel tools into AI agents that do real work — answering customer questions, checking itineraries, and flagging trip risks — without you building any of the AI yourself.
When you'd use this
Travel companies have endless tasks that need judgement and context: a customer asking why their connection changed, an itinerary that needs a second pair of eyes, a flight that's about to disrupt a trip. Handling these by hand doesn't scale, and building bespoke AI for each one is slow and expensive.
TAI is the shortcut. You assemble capable agents from reusable building blocks — Skills, Knowledge, and Connectors — and put them to work in minutes. Resolve customer questions in seconds. Catch itinerary problems before your travelers do. One platform, many agents, each one configured for a specific job and grounded in your own data.
How it works
An agent is the central unit in TAI. You decide what it knows and what it can do, then expose it wherever your users and systems need it. No model training, no infrastructure to run — you configure, and it works.
The building blocks:
Skills — what your agent can do: check an itinerary against your rules, generate a polished PDF, search the web for live information.
Knowledge — your content the agent answers from: cancellation policies, product FAQs, internal procedures — so answers are right and on-brand, not generic.
Connectors — live access to your systems: booking data, flight APIs, your own databases — so the agent works with real, current information instead of guesses.
Where agents run:
Chats — natural, multi-turn conversations with an agent, right in the Workbench under Chats. The fastest way to ask, test, and iterate.
Reports — one-shot document runs: point an agent at a booking and get a formatted, shareable report you can export as PDF. Find them under Reports.
API / SDK — drop an agent straight into your own product via the REST API or the TAI Chat SDK, and meet your users where they already are.
Tips and limits
You build agents in the Workbench; your end users reach them through chats, embedded chat widgets, or your own integrations — wherever fits your workflow.
Built-in agents and skills ship ready to use, so you can start fast and customise as you grow.
Each agent uses only the connectors and knowledge you assign to it — you stay in control of exactly what it can see and do.
Related
