AI agents
Someone on the desk
at three in the morning.
An agent that answers the questions your team answers forty times a week, in your words, and knows when to fetch a human.
- Hi, can we get in at 11 instead of 3?
- Early check in is free after 1pm today. I can hold 1pm now, or 11am for £25.
- 1pm is fine.
- Done. Front desk has been told, and your key code stays the same.
Where it earns its keep
Four jobs worth handing over.
Guest questions, answered at 2am
Parking, check in times, the wifi code, whether the dog can come. The questions that arrive after your team has gone home.
Routine requests, handled
Extra towels, late checkout, a table moved. Logged where your team already looks.
Enquiries, qualified
Event and group enquiries asked the right five questions before they reach a human.
Your team, supported
An internal agent that knows your policies, your suppliers and your rota, so new staff stop asking the same manager the same thing.
Boundaries
What it will not do.
Most bad AI stories come from a system given too much rope. These are the limits we build in by default.
- It does not invent an answer. If it does not know, it says so and passes it on.
- It does not touch pricing, refunds or anything with money attached unless you explicitly ask for that.
- It does not pretend to be a person. Guests are told what they are talking to.
- It does not go live until you have seen it handle your real questions.
How we build one
Nothing goes live until you trust it.
- 01
We read your inbox
Two weeks of real messages tells us what an agent would actually be asked, not what we imagine it might be.
- 02
We give it your knowledge
Policies, opening hours, tariffs, the quirks of the building. Sourced from your documents, not the open internet.
- 03
We test it against you
It answers side by side with your team until you agree it is right more often than it is wrong.
- 04
We put it live with a handbrake
Start on one channel with a clear route to a human. Widen it once you trust it.
Questions
The things people ask about agents.
Tell us the question your team answers most.
That one question usually tells us whether an agent is worth it, and what it would take to build.