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Industries · Travel and hospitality

AI for travel and hospitality that knows the guest and the booking

Guest concierge agents connected to your booking systems, demand forecasting for pricing and staffing, review intelligence, itinerary personalisation and operations triage for hotels, travel companies, venues and hospitality software vendors.

  • PMS and booking engine integration
  • Multilingual by default
  • Travel apps since 2006
Use cases

Where AI creates value in travel and hospitality

Guests ask the same questions at all hours, in every language, and expect an answer that reflects their booking. That is the first thing to fix; forecasting and operations follow.

  • Guest concierge agent

    Pre-arrival questions, upgrades, late checkout, restaurant bookings, local tips and in-stay requests handled in the app, on the web or on messaging channels, with the guest's reservation in view. Touches the PMS, booking engine and point of sale. Hand-off to the front desk is one tap away.

  • Demand forecasting for pricing and staffing

    Occupancy and demand forecasts from booking pace, events, seasonality and rate history, feeding the revenue manager's decisions and the rota. Touches the PMS, the revenue management system and workforce scheduling. See predictive analytics.

  • Review and feedback intelligence

    Reviews, surveys and chat transcripts analysed by theme, property and period, with suggested replies drafted for a manager to approve. Touches review platforms and the guest feedback system. The recurring complaint becomes a maintenance ticket, not a statistic.

  • Itinerary personalisation

    Suggested activities, transfers and dining built around the booking, the traveller's stated interests and what is actually available, bookable through partner integrations. Touches the booking platform, partner APIs and the traveller app. See recommendation engine.

  • Housekeeping and maintenance triage

    Guest requests and staff reports classified by urgency and department, with photos read and tasks created in the right queue. Touches the PMS task module and the maintenance system. Urgent safety issues go to a person immediately.

  • Meetings, conferences and group business

    Registration, ticketing, check-in, attendee apps and matchmaking for the events your venue hosts, through Eventify. Touches the sales and catering system and the event platform. See event technology.

Compliance and data

Guest data, payment data and fair pricing

What we design for in hospitality

Guest profiles include passport details, travel patterns and preferences, all personal data under GDPR and UK GDPR, often moving between countries and partners. Card data stays with your payment provider and out of prompts and logs. Consumer law expects transparent pricing and accurate descriptions, so dynamic pricing suggestions and generated content are reviewed by people. Accessibility obligations apply to guest-facing channels. This is engineering guidance, not legal advice.

We verify the guest before the agent discloses or changes anything, limit what partners receive to what the booking needs, keep retention short and give managers approval over pricing and published replies. The AI data privacy service covers subject requests and cross-border transfers.

Reference architecture

Flagship workflow: a concierge agent that knows the reservation

The guest writes from the app, the website, messaging or an in-room device. The agent verifies them against the reservation before it answers anything personal, then works through typed tools: read the booking, check availability, add a service, book a table or a transfer.

Property questions are answered from a knowledge base of policies, amenities, opening hours and local recommendations, cited and multilingual. Anything outside the agent's rules, anything emotional and anything involving money beyond a set threshold goes to guest relations with the conversation attached.

Every action is logged against the reservation, which is also where the operations value appears: requests become tasks in the right department. The pattern follows our AI agents work with MCP servers wrapping the PMS and booking APIs.

Hospitality concierge architecture: the guest talks to an agent that verifies the reservation, reads and acts on the property management system, cites the property knowledge base, books partner services and hands off to guest relations Guest on app, web, messaging, in-room any language Concierge agent verifies the reservation, typed tools, rules, logging PMS and booking engine reservation, availability, upgrades, bill Property knowledge base policies, amenities, hours, local tips Partner services restaurants, transfers, activities reads and acts cites books Guest relations desk conversation and actions attached hands off
Verification first, tools second, people for everything the rules exclude.
Track record

What we have built that applies

Travel and hospitality apps

Trip planning, booking, loyalty and in-stay apps for iOS and Android, with maps, payments and offline content, part of the 1500+ apps delivered since 2006.

Portfolio

Eventify for venues and conferences

Registration, ticketing, check-in, badge printing, attendee apps and matchmaking for the meetings and events business, run on our own platform.

Eventify

A support bot with safe hand-off

Eventify's AI support bot answers attendees from approved content and escalates cleanly, the behaviour a concierge agent must have.

Support bot case study

Travel clients we have worked with include Stopover and SmartTrips.

Getting started

The first 30 days

  1. Week 1: guest journey and systems map

    Front office, revenue, operations and IT map the guest journey, the systems behind it and the top request types by volume.

  2. Week 2: rules and knowledge

    Agent rules, verification flow and escalation triggers agreed; the property knowledge base assembled from existing documents.

  3. Weeks 3 to 4: pilot at one property

    The agent handles live conversations on one channel with staff reviewing; resolution and satisfaction measured.

  4. Day 30: decision pack

    Resolution rate, staff time saved, guest feedback, cost per conversation and a rollout plan across properties and channels.

Our agentic workflows guide explains the tool-boundary approach; book a call to apply it to your property.

FAQ

Frequently asked questions

Can the concierge agent actually change a booking?

Yes, for a verified guest and within rules you set: amend dates where availability allows, add breakfast, request a late checkout, order to the room. It works through your property management or booking system's API and logs every action. Refunds, overbooking situations and complaints go to a person with the conversation attached.

How do you handle guests who write in many languages?

Modern models handle multilingual conversation natively, and the knowledge base can be written once in your house language. We test the most common guest languages explicitly before launch and route anything the model is unsure about to staff.

Is demand forecasting only for large hotel groups?

No. A single property with a few years of booking history, local event data and rate changes has enough to forecast occupancy and inform pricing and staffing. We keep the model explainable so the revenue manager can override it with confidence. See predictive analytics.

What about conferences and group business?

Our own event platform, Eventify, runs registration, ticketing, check-in, attendee apps and matchmaking for conferences and exhibitions, which makes venues and hotels with meetings business a natural fit. See events and exhibitions.

Ready to make AI work in production?

Tell us about your systems, your data and your constraints. We reply within one business day with a straight answer and a suggested next step.