Typewise for travel

AI customer service for travel: from booking questions to resolved journeys

Candidate workflows for changes and disruptions across suppliers, with what each needs from your systems and the authority your operations team keeps.

Travel service is rarely one conversation. A booking change touches a supplier, a fare rule and a traveller who may be in another time zone with a poor connection. A disruption produces a burst of contacts that all need the same answer and a few that need a specialist. And before any of that, an enquiry can arrive without the budget, dates or airports an agent needs to build an offer.

Tour operators, attractions, intermediaries and mobility providers run different service models, and the page below separates them rather than assuming one travel workflow. Typewise agents read and write in connected CRM, ERP and ITSM systems, sensitive actions wait for approval, hand-offs carry the full context, and every action is logged. Whether any workflow below can run end to end in your organisation depends on what your systems expose and on the data behind them, so each is presented as a candidate design to evaluate, with what it needs, not as a promised capability.

Candidate workflows to evaluate

Travel workflows to evaluate

Complete the brief before the offer

Candidate design

Ask for the missing pieces of an enquiry (dates, travellers, budget, departure points) so the agent builds the offer once, and read the structured fields a contact form carries.

What it needs from your systems

Access to the enquiry record including its structured fields, and a defined list of what an offer needs.

What stays with people

The offer itself, and any judgement about what suits the traveller, stays with the agent.

Booking questions and documents

Candidate design

Answer questions about an existing booking for a verified traveller, resend documents, and explain what a fare or product allows.

What it needs from your systems

Booking data with the fare and booking identifiers the answer depends on, reachable from the connected system; a verification step your booking system recognises.

What stays with people

Where a fare or booking identifier is missing in the connected system, the design does not guess a cancellation answer.

Changes and cancellations

Candidate design

Collect the request, check what the product rules permit, and prepare or execute the change where the supplier connection and your policy allow.

What it needs from your systems

Supplier connections for the products in scope, or a defined partial-handoff step where they do not exist; product rules in a queryable form.

What stays with people

Changes that depend on a supplier without a connection are handed to a person as a specific task, with the result returned to the case rather than the whole conversation being abandoned.

Disrupted journeys

Candidate design

Give consistent, current information to everyone affected, and route the cases that need rebooking or compensation decisions to the right specialist queue.

What it needs from your systems

A current source of disruption information and routing rules per case type.

What stays with people

Compensation and goodwill decisions follow your policy and your approvers; the design does not improvise entitlements.

Traveller identity on the move

Candidate design

Verify the traveller against booking data before sharing or changing anything, in a way that works on a phone with a weak connection.

What it needs from your systems

A verification method agreed with your security owners for each task risk; booking data to verify against.

What stays with people

A reservation flow with its own controlled experience is pointed to, not reproduced in chat.

Partner and B2B requests

Candidate design

Answer routine information requests from agencies, OTAs and partners about specific bookings, where the questions are standard and the consequences of an error are lower.

What it needs from your systems

Partner identity and entitlements, and booking data for the requests in scope.

What stays with people

Bespoke, relationship-led service is centralised and assisted, not automated, where that is the service you sell.

Operating boundaries

What your operations team keeps

  • Identity is verified by your systems, not asserted in the conversation: account data and account changes require an authenticated customer.
  • Every action the AI may take is granted per action as read, recommend, draft or execute, and enforced where the action happens, not only in the instructions.
  • Sensitive actions wait for a named approver; hand-offs carry the full context to a person who owns the next step, including outside service hours.
  • Every step is logged, so your team can audit what was looked up, what was proposed and what was done.
  • A case is measured as a whole journey: a reply that leaves the supplier step open is not a resolution, and partial human steps are counted as human work.
How it is enforced

Permissions, approvals and an audit trail.

Agents read and write only in the systems and scopes you connect. Sensitive actions wait for approval, hand-offs carry the full context, and every action is logged. Hosting, access control and certifications are described on the security page.

Security and compliance →See how it works →
Rollout considerations

What a rollout has to take into account.

  1. Step 1

    Separate your service models

    Attractions, packaged tours, mobility and intermediaries have different data, suppliers and risk. Scope the first workflow inside one model rather than across all of them.

  2. Step 2

    Test with real detours

    Travellers are non-experts who ask several things at once and wander. Build the evaluation set from anonymised real conversations, including multi-intent and off-path cases, and rerun it on every change.

  3. Step 3

    Start where errors are cheap

    Routine partner information requests and booking questions are reasonable first steps; changes with supplier dependencies come once those connections exist.

  4. Step 4

    Measure whole cases from the start

    Writing-time savings do not become handling-time savings while agents still research in the reservation system. Baseline per cohort and count reopens and partial handoffs before drawing a conclusion.

Customer stories

Results from real deployments.

A published customer story from a travel operator; it describes its own setup, not the candidate designs above.

See all customer stories →

Good questions. Straight answers.

Only where a supplier connection exists and your policy permits the change, with approval gates where you set them; that is established in the evaluation. Where the connection does not exist, the candidate design collects the request, hands the specific task to a person, and continues the case once the result is back.

Against booking data, with the strength of verification matched to the task and agreed with your security owners: reading a departure time needs less than changing a name. The verification happens in your systems, not by the AI believing a claim in chat.

For a bespoke service, the first value is more likely to be centralising channels and giving agents context than automating replies. Routine partner requests and document resends may be the only automated part, and that is a legitimate scope.

Evaluate it on your own bookings.

Book a demo and we’ll walk through these candidate workflows against your service models, supplier connections and the decisions your team keeps.