Typewise for hospitality

Hospitality AI for staff knowledge and guest service

Candidate workflows that put the hotel’s knowledge in your staff’s hands, cover guests after hours, and keep the relationship human.

Hotels differentiate on the guest relationship, which is a reason to keep much of the AI below the guest-visible line: staff knowledge, reservation email classification, after-hours cover, and the long tail of hotel-specific questions that live in manuals and in people’s heads rather than on the website.

That is the starting point for this page. Guest-facing automation has its place, but only where it answers reliably; an incomplete chat can lower perceived service quality even when its answers are correct. 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

Hospitality workflows to evaluate

Staff knowledge at the desk

Candidate design

Give front-office and reservations staff fast answers from the hotel’s own information (rooms, facilities, policies, local knowledge), including content currently held in manuals and onboarding documents.

What it needs from your systems

The hotel’s information organised into sources the AI can read, with an owner; most hotels have to do this work first.

What stays with people

The guest conversation stays with the staff member; the design supports the answer.

Reservation and enquiry email

Candidate design

Classify and prepare replies to reservation emails and enquiries, including requests that arrive through tour operators with limited guest information.

What it needs from your systems

The mailbox connected; reservation data reachable for the properties in scope; rate and exception rules in a form the AI can apply.

What stays with people

Rates, upgrades and exceptions follow the hotel’s rules; a person releases anything commercial.

Guest requests and issue intake

Candidate design

Take a guest request (a towel, a late checkout, a fault in the room) through one intake and route it to the owning department, so neither the guest nor the staff member has to know which system handles it.

What it needs from your systems

A destination per department that staff actually work in, and routing rules the hotel owns.

What stays with people

Fulfilment is physical and stays with the team; the intake confirms ownership and follow-up, not completion.

After-hours continuity

Candidate design

Cover questions outside staffed hours with reliable information, hold requests with a clear promise, and alert an on-duty person when a guest needs one.

What it needs from your systems

An alert path to an on-duty person and an agreed narrower scope for the night.

What stays with people

What the design may do at night is a narrower scope than by day, by design.

Guest-facing self-service

Candidate design

Answer common pre-arrival and in-stay questions on the website or messaging channels where the hotel decides a guest-facing channel adds service.

What it needs from your systems

Information organised enough to answer reliably. Public hotel information needs no account. For anything booking-related, a verification and authorisation method that the hotel’s own systems enforce, agreed with its security owner and proportionate to the action; a reservation reference locates a booking but is not by itself proof that the requester is entitled to it. No protected data is disclosed and no booking action is taken until those checks pass.

What stays with people

Only where the data is organised enough to answer reliably; otherwise the channel waits.

Operating boundaries

What the hotel 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.
  • Brand and ownership approvals come first: where a brand or management agreement sets preferred vendors or channel rules, that approval precedes any integration.
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

    Organise the information first

    Hotel knowledge is commonly held in fragmented places. A pilot in one or two properties is a good way to find out what has to be organised before anything guest-facing is attempted.

  2. Step 2

    Start staff-facing

    Staff knowledge and reservation email are where value can appear without touching the guest relationship, and where an imperfect answer is caught by a person.

  3. Step 3

    Test guests who are not logged in

    Most guests have no account. Decide with your security owner how a guest is verified and authorised for booking-related requests, enforced by the hotel’s systems and proportionate to the action, before any booking-related design is demonstrated. A reservation reference is a lookup key, not proof of identity.

  4. Step 4

    Plan for the next generation of experts

    If routine entry-level work shrinks, decide how mid-level staff will learn the job. Treat AI review and knowledge upkeep as roles people are trained into.

Customer stories

Results from real deployments.

A published customer story from the travel and hospitality sector; it describes its own setup, not the candidate designs above.

See all customer stories →

Good questions. Straight answers.

Only where you decide a guest-facing channel adds service and the information behind it is reliable. Public information needs no account; anything booking-related waits for the verification and authorisation your systems enforce, and a reservation reference alone does not establish that. A staff-facing start, with knowledge and reservation email, keeps the guest talking to a person.

Yes, with a staff-facing pilot in one or two properties. Organising the information is most of the work, and a pilot shows which parts matter first.

Brand or management agreements may set rules on vendors and channels. Those approvals are sorted before integration; the technical fit does not override them.

Evaluate it on your own properties.

Book a demo and we’ll walk through these candidate workflows against your reservations, guest-request and knowledge sources.