Guest service
Answer from current property policies and local information, with a clear handover when the answer is uncertain.
Sector intelligence
Tourism & hospitality
More personal service should also mean a better place to live.
Where to put AI to work
Practical opportunities to investigate. Results depend on your data, process and evaluation.
Demand planning
Test staffing and inventory forecasts against seasonal baselines before relying on automated recommendations.
Destination management
Examine crowding and resource demand alongside resident experience and access to public space.
What matters in this sector
Hotels and tourism businesses face seasonal demand and repeated questions in several languages. A useful assistant needs accurate opening hours, policies and availability. A fluent invented promise can create a real customer problem. Begin with approved information and staff-reviewed drafts.
A sensible first test
Collect common guest questions and check replies against your current policies. Include cancellations, accessibility and exceptional requests. The linked service cases are transferable examples, not evidence of deployment at a Greek hotel.
Cases worth learning from
25 July 2025
Alpha Bank · Copilot
Help staff write, summarise and prepare everyday work faster.
What happened and what to learn ↗
2025 published study
Customer support · field study
Give customer-service staff suggestions while they remain responsible for the conversation.
What happened and what to learn ↗Measure
Resolved enquiries, corrected answers, staffing accuracy and resident impacts.
Watch
Outdated local information, seasonal bias and optimisation that shifts costs onto workers or residents.
Make the first move concrete
One workflow. One baseline. One accountable owner.
Choose a repeatable task. Record its current performance and the failures that matter. Test on a controlled sample, compare with the existing process, and decide what evidence would justify extending the trial.
Compare your opportunities