Research & Knowledge Management

Hotels depend on two forms of knowledge: reliable intelligence from outside the organisation and operational expertise held within it. AI can accelerate access to both, but only when teams know how to find the right evidence, verify what they receive, and ground AI in trusted hotel information. In this hands-on workshop, participants work in pairs to conduct AI-augmented research and build a working hotel knowledge assistant using accessible, off-the-shelf tools.

Who it is for

Anyone who gets asked for a recommendation with evidence behind it, and anyone who holds knowledge the rest of the team keeps interrupting them for, from department heads to the teams they lead.

Learning objective

Run a structured research workflow to a recommendation you can defend, build a document-grounded knowledge assistant on your own hotel's pages, and choose the right tier for your property.

• Scope a research question around the decision it has to serve
• Gather evidence across sources, and judge each one on independence rather than tone
• Move from evidence to finding to implication without skipping the middle step
• Treat challenging a conclusion as a separate job from checking its facts
• State a recommendation with its confidence and its largest remaining uncertainty
• Build a knowledge assistant on your own hotel's published pages inside an hour
• Break it on purpose, and publish what it can and cannot be trusted with
• Choose between an AI workspace, a no-code assistant and a full build

1. Section 003-1 · 120 min

   AI-Augmented Research: From Question to Decision

   Watch a confident research answer come apart under scrutiny, then rebuild it properly. Each stage is taught, demonstrated live on a hotel commission, then run by each pair on a decision of their own, through Frame, Gather, Evaluate, Synthesise, Challenge and Deliver. Challenge means attacking your own conclusion before an owner does.

   You leave with: A recommendation on your own question that survived your own challenge, with its confidence and largest uncertainty stated.

2. Section 003-2 · 90 min

   From Institutional Memory to a Working Knowledge Assistant

   Start from a working assistant answering, refusing and disclosing live, ask it your own questions, then build one. Four stages, each taught and then run in pairs: Scope, Curate, Load and Test, on a niche of your own hotel's published pages. Closes on the buy-versus-build tiers and the maintenance nobody quotes for.

   You leave with: A working assistant on your own hotel's pages, a failure log, published trust boundaries, and a tier choice.

• A research workflow and its templates

  Frame, Gather, Evaluate, Synthesise, Challenge and Deliver, with the brief, the source-evaluation frame and the claim-verification checklist.

• Hotel knowledge-assistant toolkit

  Hands-on experience building and testing a document-grounded AI assistant on your own hotel's published pages, with its answer log, failure log and trust boundaries written down.

• A tier decision for your property

  Workspace, no-code assistant or full build, and the route to getting one: a champion, your IT team or an implementation partner.

• Research questions are drawn from decisions the team is facing now.
• The knowledge assistant is built on the property's own pages, standard operating procedures and documents.
• Tools are matched to what the organisation already licenses.