AI-assisted hospitality work: verify the guest-facing access description

Start with what a visitor needs to decide

A guest may need to know how to move from the entrance to reception, whether there are steps, what the lift reaches, and how to ask about a specific room. General adjectives such as “fully accessible” do not convey those facts. The VisitBritain guidance on providing accessibility information describes detailed, factual accessibility guides that show a visitor's route through a business. It also treats this information as a way for visitors to make their own choices. This is a UK tourism-sector source, not a certification of a particular property.

Before drafting, obtain the property's current approved floor plan, a dated staff walk-through, the public contact route and a list of features whose presence has been checked. Mark each item with a responsible staff member and last verification date. Do not infer a feature from an old marketing photo or a similarly named room. If a guest asks for a personal accommodation, the public page should point to a human contact rather than have an AI system decide suitability.

Sources: [1]

Work a route-and-feature sheet

In a synthetic example, the fictional hotel has a main entrance with two steps, a separate step-free side entrance, reception on the ground floor, and a lift to some but not all guest-room levels. An old brochure calls the whole property “step-free.” The new sheet has rows for arrival point, door, reception route, lift coverage, room-feature inquiry and contact method. Each row carries a source, an observed fact, a staff checker and a publication disposition.

The proposed AI draft says, “All rooms are accessible by lift.” The floor plan and walk-through do not support that sentence, so the staff owner removes it. A second sentence says, “Use the step-free side entrance and contact reception for assistance with the route.” That may be publishable only after the staff owner confirms the side entrance is available during the stated hours and the public contact details are current. The sheet does not guess whether a wheelchair user can use a particular room or whether a requested feature will be available. It gives verifiable facts and a route for a specific question.

VisitBritain's accessible-features guidance discusses physical features and facilities relevant to accommodation. It supports asking about concrete routes and features; it does not validate this fictional hotel's details. Those details must come from a real property owner in any live application.

Sources: [2]

Check the page in the physical world

Give a reviewer the proposed public page and the route sheet. Ask them to walk the described arrival-to-reception path and compare each claim with what exists. Have a second reviewer check that the contact route works and that the description does not silently turn a limited lift route into a whole-property promise. In the synthetic exercise, place a deliberately stale brochure in the source pack. A useful review identifies the conflict and holds publication until the current fact owner resolves it.

NIST's AI RMF Map playbook recommends documenting intended context, limitations and human oversight for AI uses. Here the limitation is clear: AI can reorganize approved property facts into readable prose, while people verify the physical route and decide what to publish. A change to a door, lift, operating hours or contact detail triggers a fresh review. A guest-specific request takes a separate human-managed path.

Sources: [3]

Keep the boundary visible

The page should not claim compliance with any accessibility standard merely because it contains an access description. Nor should it claim that AI improves guest satisfaction or that Two Prune operates this hotel workflow. The purpose is a practical method for checking a public hospitality communication against observed facts. Two Prune could use a synthetic property pack to assess whether a participant catches the old brochure, avoids an unsupported access promise and produces a traceable description. Such an assessment yields bounded evidence for human interpretation, not an automated decision about a person or a certification of a venue.