A hotel reception desk with a member of staff at work

AI agents for hospitality and travel.

Rotas, bookings and guest messages that keep up with demand.

Agents and data platforms for hotel groups and travel companies, built into the PMS, booking and workforce systems already in place, with people approving what matters.

What is changing
  1. 01Demand moves weekly, rotas monthly

    Occupancy, events and weather change demand week to week, while rotas are set a month ahead.

  2. 02Agencies fill every gap

    When a rota misses, agency staff cover the shift, at a premium every time.

  3. 03Guest messages never stop

    Changes, questions and complaints arrive at all hours, across every channel and language.

Where AI pays back first

Agents across the guest journey.

The agents Twistag builds most often for hotel groups and travel companies, from rota to invoice. Each one keeps a person on the decisions that matter.

01 · Staff

Demand forecasts and rotas.
Start here

Staffing planner

Forecasts demand by site and day and builds rotas that move people between locations before agencies are booked.

People approveManagers approve each weekly plan and any agency booking.

02 · Book

Changes, upgrades and cancellations.

Booking changes agent

Handles date changes, upgrades and cancellations within policy, and updates every system involved.

People approveExceptions to policy and refunds above a set amount.

03 · Host

Guest questions in every channel.

Reply drafting agent

Classifies each message, pulls up the account and drafts a reply in the house voice, checked against written guidelines.

People approveAn advisor approves or edits every reply before it goes out.

04 · Resolve

Claims, refunds and complaints.

Refunds and claims triage

Sorts incoming claims, checks them against policy and evidence, and prepares a recommendation for each.

People approvePayouts above the threshold and any claim flagged as unusual.

05 · Train

Procedures and frontline skills.

Training agent

Turns procedures into short lessons and checks understanding for frontline teams on their phones.

People approveTeam leads sign off role certifications.

06 · Pay

Supplier invoices and receipts.

Invoice matching agent

Reads supplier invoices in any format, matches them to orders and receipts, and posts the clean ones to the ERP.

People approveMismatches above a set amount and any change to supplier bank details.
Proof

Hospitality work, in numbers.

All hospitality case studies
How to start

Three steps from question to daily use.

  1. 01Find where it pays back2–4 weeks · from €5,000

    Map the guest journey and the operation behind it, score each process on value, effort and risk, and leave with a shortlist and a 90-day plan.

    AI Readiness Sprint
  2. 02Build the first agent6–12 weeks

    One agent on real data, connected to the PMS, booking, workforce or finance systems already in place, with people approving each action.

    Multi-agent Systems & Agent Engineering
  3. 03Scale and governOngoing

    More agents on one platform, each with its own access rights, EU AI Act risk class and audit log.

    Agent Governance & Security
Questions

About AI in hospitality.

Which hospitality processes should get an agent first?

The ones that repeat every day, follow rules a person can explain and are easy to check. Staff planning, booking changes and guest replies are common first choices. The AI Readiness Sprint ranks them for the specific company.

Which systems do the agents connect to?

The ones already in place: PMS, booking engines and channel managers, workforce and payroll tools, CRM, helpdesk and finance systems. Agents connect through APIs or exports, so nothing needs replacing to start.

How long until the first agent runs every day?

Six to twelve weeks from scoping, on real data, with people approving each action until the results hold.

How is guest data protected under GDPR?

Personal data stays in the company’s own cloud account. Each agent has its own access rights, and every action is logged.

How does the EU AI Act apply to hospitality agents?

Each agent gets a risk classification before it goes live, with the controls that class needs. Guest-facing agents are labelled as AI, and anything touching staff decisions keeps a manager on every approval.

Who owns what is built?

The client owns everything: code, prompts, data pipelines and documentation, handed over in full.
Talk to us

Let’s talk.

Tell us about the company and what it needs. A senior lead takes it from there.

A senior lead replies within one working day.

Talk to us

Tell us where work gets stuck.

A senior engineer replies within one working day.

Interested in

Thirty-minute call

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