Where we use AI
AI may assist guest answers, content creation, workflow routing, analysis and product experiences. Demonstrations use example data, not live business policies or availability.
Responsible AI
Clear about where AI is used.
AI should make service faster and work more useful—not obscure responsibility.
Human review and handover
AI assistants identify themselves, use approved knowledge and provide a clear route to a person. Sensitive, uncertain or exceptional requests should be escalated.
Limitations
AI output can be incomplete or wrong. We do not allow a system to invent hotel policies, prices or availability. Unresolved questions should be logged for review.
Data handling
Deployments should minimise personal data, use defined retention settings and restrict access according to business roles.
How to read our demonstrations
A live production system is operating for real customers under an agreed business process. An interactive demonstration is a guided experience using illustrative conversations. A working prototype is a functional build being tested before production approval. A concept demonstration shows a possible direction and is not evidence that the underlying integration is live. We label these distinctions so visitors can judge the evidence fairly.