All modules / Research & Knowledge Management
Module 003 · Go deeper
Research you can check, knowledge that stays
Duration
4 hours
Format
Half day, on-site
Audience
Anyone who gets asked for a recommendation with evidence behind it
About the module
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.
Bring this module to your team
Tell us who would be in the room and what they work on. We will suggest how to run it, on its own or with other modules.
What you will do
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
Lessons
2 parts · 4 hours in total
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.
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.
What you leave with
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.
How we tailor it
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.
Included in
Packages
Included
Example programmes
Included
Included
Next step
Plan Research & Knowledge Management for your team
Every module is a half day on-site, fitted to your AI tools, your documents and your policy before it runs. Or email singapore@horwathhtl.com.
Upcoming dates. Public dates to be announced. Contact us to arrange a workshop for your team.