Agentic AI
Agentic AI for real travel workflows
NDCTerm is not just adding a chatbot to a booking tool. It exposes shopping, booking, servicing, ticketing, seat maps, ancillaries, order history, and traveler communication as supervised tools an AI agent can use with human approval.
Why travel AI needs an execution layer
Most travel automation stops at search suggestions or message drafting. Agency operations need the next layer: retrieve the order, understand the traveler context, quote the airline workflow, draft the response, and ask for approval before anything irreversible happens.
| AI capability | Travel workflow it supports | Control model |
|---|---|---|
| Tool planning | Search routes, retrieve orders, inspect fare rules, request seat maps, or quote cancellation. | AI proposes the tool sequence before execution. |
| Context awareness | Use session state, traveler profile, agency notes, order status, and airline response data. | Agent sees the evidence behind the recommendation. |
| Quote before commit | Refunds, cancellations, voids, exchanges, order changes, and paid ancillaries. | Human approval before destructive or financial actions. |
| Communication drafting | Explain itinerary options, refund amounts, penalties, seat costs, and next steps to travelers. | AI drafts; agent reviews and sends. |
Example supervised servicing flow
The AI can do the repetitive work, but the agent controls the moment of commitment.
AI> Cancel this booking if the refund is over $500
Tool: retrieve_order · PNR AA001ABC123
Tool: cancel_order · quoteOnly=true
Result: refund quote $612.40 · penalty $0.00
Draft: traveler email with refund amount and timing
Status: approval required before cancellationCommercial value
More than search
The AI connects to operational workflows after booking, where agencies spend meaningful support time.
Lower service cost
Schedule changes, refunds, seats, bags, and traveler updates can be prepared faster with approval gates.
Defensible workflow data
Each completed action improves the operating context around airline behavior, agency policy, and traveler needs.
Channel leverage
NDC and GDS workflows become tool calls that can power both human agents and supervised automation.
Where AI fits in the agency workflow
Good AI tasks
- Summarize a booking and traveler history.
- Find eligible replacement flights.
- Quote a cancellation or refund before commit.
- Prepare seat, bag, and service recommendations.
- Draft traveler updates after an agent approves the action.
Approval required
- Book, ticket, cancel, refund, void, or exchange.
- Charge a paid seat or ancillary.
- Apply a corporate or private fare rule.
- Send traveler-facing communication under the agency brand.
FAQ
>Is this replacing human travel agents?
No. NDCTerm's AI is positioned as a supervised operating layer for agents and support teams. It can prepare, quote, explain, and draft, while humans approve high-impact actions.
>Why is this valuable to agencies?
Agencies spend significant time on repetitive post-booking work. AI that can use real airline tools, not just write text, can reduce handling time while keeping agent control.
>Which airline workflows can AI use?
Available workflows depend on carrier support, agency credentials, market, and onboarding. NDCTerm should only expose AI tools for workflows that are enabled and controlled for that agency.
Build automation on airline workflows
NDCTerm is in limited release for teams that want agent-controlled NDC workflows and supervised AI automation.
Request AccessRelated: NDC servicing · NDC for TMCs · Commands