Ask it as you would someone on your team
It answers with your hotel's data, says what it has checked and, if it doesn't know something, it doesn't make it up: it asks you.
Plan: All plans
Real Ambrosio screens. Sample data.
AI that makes things up
A confident, wrong answer to a guest is costly.
Knowledge lives in people's heads
The person who's been there 10 years knows it, and nobody else.
Scattered information
Booking says one thing, the website another and the front desk a third.
Ambrosio does the work. You decide.
It reads your sources
Your Booking listing, your Google profile and your official website.
It brings them together
A single fact, with the sources that state it and no duplicates.
It asks what it doesn't know
It logs it as a question, including when the sources disagree.
It learns under supervision
What the team tells it stays pending review until management confirms it.
What you get from day one
Chat on every screen
Ask from wherever you are, by voice and with photos too.
The essentials
The topics almost everyone asks about, with ✓ if it knows them and ✗ if they're missing.
Open questions
What it couldn't answer, so it can learn.
Policies
Cancellation, groups, upselling and what it should remember.
Pending review
What it learns isn't used until it's confirmed.
With its source
Every answer says what data it looked at and how recent it is.
Ask Ambrosio
Examples with a fictional hotel. In your hotel it answers with your data and says what it has checked.
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Before you ask
Does it learn from other hotels?
No. What it learns in your hotel only applies to your hotel, or to your group if you mark it.
Does it learn from guests?
No. When a guest asks something Ambrosio doesn't know, it's logged as a question for the team.
Is a model trained on my data?
No. What it learns is written down in Knowledge, in plain view, and can be corrected or deleted.
We'll show you with your hotel
A 20-minute video call. We look at your prices against your real competitors and at what Ambrosio would do for you tomorrow.