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AI adoption: TravelTech & Hospitality

AI adoption in TravelTech & Hospitality

Travel companies use AI to answer travellers at any hour and to price and plan more accurately. The path starts with the questions your team answers every day.

Book an assessmentBook an assessment
Use cases

Where AI pays off first

  • 01

    Trip planning and booking

    Conversational search that turns a loose request into bookable options.

  • 02

    Service and disruption

    Changes, cancellations and common questions handled instantly, in the traveller's language.

  • 03

    Pricing and demand

    Forecasts that inform rates, inventory and staffing.

The path

The path for TravelTech & Hospitality

Four stages, each ending with a decision. The first line of every stage is specific to your industry.

Step 1: Assess

Find where AI is worth it

  • Analyse enquiries and support contacts to find the requests that repeat most
  • List the work that is repetitive, slow or stuck in documents
  • Score each use case by value, feasibility and risk

Use case scoring

12 assessed
Use caseValueFeasibleRiskTrip planning and bookingService and disruptionPricing and demand

Owner: Head of customer service

Measure: changes handled without an agent

Step 2: Pilot

Prove one use case

  • Launch an assistant for booking changes and FAQs on one channel, with hand-off to agents
  • Build one narrow use case with real users and real data
  • Write evaluation tests before the first prompt

Pilot: service and disruption

Week 4

One channel, 4 weeks

Booking changes self-served

Baseline0%
Pilot46%

Decision: continue

Reviewed with the owner

Step 3: Integrate

Put it where work happens

  • Connect to booking, supplier and payment systems so the assistant can act, not only answer
  • Connect to the systems people already use, not a separate tool
  • Add access control, logging and data protection

Connected systems

  • Booking engineReservations
  • GDSFares and availability
  • Contact centreHand-off to agents
Access controlLoggingData protectionUsage policy
Step 4: Scale

Make it routine

  • Add personalised offers and demand-based pricing across channels
  • Reuse the same platform, patterns and guardrails for the next use case
  • Move from assistants to agents where the evidence supports it

AI use cases

This quarter
  • Trip planning and bookingLive
  • Service and disruptionLive
  • Pricing and demandPilot

46% of changes

Self-served, any hour

TravelTech & Hospitality

Connected journeys and better guest operations.

We build booking engines, itinerary products and hospitality operations tools. Supplier integrations, conversational assistance and real-time availability connect travellers and guests with the teams serving them.

What we buildWhat we build

Find your first AI use case

Tell us about your business and where the time goes. We will come back with the use cases we would assess first and how we would test them.

Book an assessmentBook an assessment

Your project plan

Ready five days after the first call

Share plan

Approach

Fixed scope
  • Start with sign-up and onboarding, the riskiest flow
  • Ship to a pilot group every week from week three
  • Add the invoice reading agent once data is flowing
First release
Week 4
Demos
Weekly
Code
Yours

Team

5 people
  • PLProduct lead
  • SESenior engineer
  • SESenior engineer
  • PDProduct designer
  • AIAI engineer

Timeline

10 weeks
Discovery
Design
Build
Launch