A working hotel dashboard and AI assistant, built with the same everyday tools you already own — Microsoft 365, Copilot, and data from systems like Opera. Move the levers and watch the property respond.
24 months of occupancy history → 12-month AI forecast with confidence band
Predictive demand
Staffing the forecast
Forecast-driven scheduling vs. today's static rosters, by department (scheduled FTEs for the peak period).
Dynamic pricing + upsell uplift over 12 months — and the reasoning behind it, in plain English
Financial model
Audit the model
A strong leader doesn't just accept the number — they interrogate it. Ask the model why the forecast moves:
Three real requests a manager might make. Flip the Data guardrails toggle above and try the red one again.
Know your data
Before anything goes into an AI tool, every leader asks one question: what color is this data?
Pool hours, restaurant menus, event calendars, published rates. Any approved AI tool is fine.
Room numbers, staffing plans, SOPs, unpublished occupancy. Only inside the Fontainebleau M365 tenant (Copilot) — never public chatbots.
Guest identity + PII, payment cards (PCI), health notes, contracts. Never enters any AI tool. No exceptions.
Risk exposure updates as adoption scales — toggle the guardrails above and watch
Guest identity, preferences, and payment data are the crown jewels — and a legal and brand exposure if they leak into public AI tools. Mitigation: the red-amber-green classification every leader learns today.
An AI that confidently invents a spa policy or comps a suite is a guest-recovery incident waiting to happen. Mitigation: human review on every guest-facing message — AI drafts, the manager decides.
If approved tools are slow or missing, staff will quietly use personal chatbots — invisible and ungoverned. Mitigation: give every department a sanctioned, capable alternative and a clear usage policy.
No new systems required: Opera stays the system of record, Microsoft 365 is the safe workspace
Summarizes overnight Opera reports, arrivals, VIPs, and yesterday's guest feedback into a one-page morning brief — inside your tenant, so internal data stays internal.
Drafts guest recovery notes, shift handovers, and interdepartmental updates in seconds. The manager edits tone and approves — AI never sends on its own.
Occupancy forecast, staffing shifts, and pricing signals — the dashboard you're looking at right now, built with AI in an afternoon, not a six-month IT project.
The red-amber-green data check, the approved-tools list, and human sign-off on anything guest-facing. Governance is what lets the other three run at full speed.
Every material you've seen today was AI-made under the same guardrails you just learned: classified data, approved tools, human review
The video call with Michelle and Ricardo was transcribed and summarized by AI into a structured brief — goals, next steps, room setup, tech stack — in minutes, not an afternoon of note-typing.
AI cross-referenced Fontainebleau's management roles with hotel-industry AI use cases and produced the eight opportunities this workshop is built around — each mapped to the departments in this room.
Claude built this entire interactive page — the forecast model, the charts, the AI assistant, the guardrails — from a written brief, in one afternoon. No developers, no six-month IT project.
The facilitator's cheat sheet — timings, click path, talking points, Q&A answers — was AI-drafted and human-reviewed before you walked in. The draft–review–send habit, applied to ourselves.
Pick one task from your own week — a report, a guest note, a schedule — and rebuild it with Copilot using the red-amber-green check. We'll reconvene on the follow-up Zoom session in two weeks to compare results.