One property, thirty days, a working concierge.

• 01

  Single-property pilot

  Guest web by QR, a staff app, and the three request types that dominate your volume — live with real guests inside the month.

• 02

  Pre-arrival messaging

  A narrower, lower-risk starting point: upsells, arrival logistics and expectation-setting before the guest is on site.

• 03

  Review-response drafting

  Drafts grounded in the actual stay record for a manager to edit and post, which is a fast, visible win with no guest-facing risk.

• 01

  Grounded answers only

  The assistant answers from the property's own FAQ and nothing else. No general knowledge about what hotels usually do — that's precisely how a bot invents a spa you don't have.

• 02

  A fixed menu of actions

  Structured request types the system can actually fulfil, plus an explicit fallback so nothing stays unclassified. Open-ended action space is where guest-facing AI goes wrong.

• 03

  Every request gets a clock and an owner

  Response and resolution tracked as separate SLAs against a named staff member, so 'the bot handled it' is never the last thing anyone knows.

1. 1

   Discovery & Scoping

   Use-case workshops, success metrics, technical scoping, data audit, and a written plan you can take to your board.

2. 2

   Build

   Working prototype on your real data — agent / RAG / pipeline / model — wired to your real systems, not synthetic data.

3. 3

   Iterate with eval

   Eval suite, guardrails, stakeholder review sessions. We tighten until the metric moves or we've proven it can't.

4. 4

   Handoff & Roadmap

   Code, runbook, eval scores, 90-day production roadmap. Optionally rolls into a Production engagement.

• Property management systems
• WhatsApp Business API
• QR-based guest web
• Native staff apps with push
• Booking engines & OTA feeds
• Twilio voice
• Revenue management tools

FAQ

30-day AI sprint for hospitality: your questions.

• Can you pilot on one property before we commit the group?

  That's the recommended shape. One property produces honest numbers in 30 days; a group-wide rollout produces a change-management project and no data.

• What if our staff won't use it?

  Then it fails, and that's worth learning in a 30-day pilot rather than after a group rollout. Staff adoption is a scored metric in the sprint, not an afterthought.

• What if you don't ship in 30 days?

  You don't pay. "Working code" means deployed to a URL we agreed on in week 1, with the eval suite we scoped passing. If we miss that bar for reasons within our control (our team, our timeline, our capacity), the entire engagement is free. Spelled out explicitly in the contract.

• Is the code ours?

  Yes, from day one. You own the repo, the IP, and the right to take it elsewhere if you want.

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