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AI Hotel Concierge and Booking Agent Development
Guests answered at any hour
An agent for a hotel's guests, before and during a stay.
An agent for a hotel's guests, before and during a stay. It answers questions about the property from information you approved, collects booking requests against real availability, and turns in-stay requests into tasks for housekeeping, maintenance or the front desk.
A hotel answers the same questions in every language at every hour. Is breakfast included, can I check in early, is there parking. The front desk handles them between check-ins. During a stay, a request for extra towels is phoned down, written on a pad and sometimes delivered. Direct bookings are lost to platforms that answer faster, at a commission.
This page describes a workflow we propose to build as a custom project. It does not exist as software yet. It would reuse the approved-knowledge answers, the booking logic and the handover with context that run in our demonstrations on test data. Room availability, in-stay request routing and connection to a property management system are not built.
One Case, Start to Finish
An example of one case, in 6 steps. The same steps play in the picture at the top of this page.
Enquiry
A traveller asks by WhatsApp whether the hotel has parking and a room for two nights.
Answered
Parking is answered from your property information. Availability and rate come from your system.
Booked
The guest chooses a room. The booking is confirmed by your system, with the cancellation terms.
Before arrival
They ask for an early check-in. It is recorded as a request and passed to the front desk.
During the stay
From the room, the guest asks for extra towels. Housekeeping receives a task with the room number.
Followed up
Twenty minutes later the task is still open, and the duty manager is told.
Six jobs it carries through
Property answers
Answers from your approved property information.
- Facilities, hours and policies
- Directions and transport
- What is included in the rate
- Says when it does not know
Booking requests
Collects a booking against real availability.
- Dates, guests and room type
- Availability and rate from your system
- Your cancellation terms stated
- Confirmed only by your system
Pre-arrival
Prepares the stay.
- Arrival time and special requests
- Early check-in requests passed on
- Pre-arrival information you approved
- Requests marked as requests, not promises
In-stay requests
Turns a request into a task.
- Housekeeping, maintenance or front desk
- The room and the request, clearly
- A time the team commits to
- Follow-up if it is not done
Local recommendations
Suggests from your own list.
- Places your concierge recommends
- Opening hours where you keep them
- Bookings passed to the concierge
- No paid placements unless marked
Guest privacy
Protects who is staying.
- Identity checked before reservation details
- No confirmation that a person is a guest
- Room numbers never disclosed
- Access logged
How the Work Is Done Today
The same questions, all night
The night porter answers parking questions between other duties.
Requests on a notepad
Extra pillows are promised and forgotten at shift change.
Direct bookings lost
The guest books on a platform because the hotel did not reply.
Promises the hotel cannot keep
An early check-in is confirmed without checking the room.
Wrong information
An assistant describes a pool the property does not have.
Guest details shared
Someone asks which room a guest is in.
Walk One Real Case Through It
Thirty minutes, one case from your own process. We map it against the workflow on this page and tell you plainly what can be reused from our demonstrations and what has to be built for your systems.
What It Reads and Writes
The systems named here are the kind this agent works with. Which ones it connects to in your case is settled in the scope.
Property management
- Opera
- Mews
- Cloudbeds
- or your PMS
Booking engine
- Your direct booking rates and availability
Tasks
- Your housekeeping and maintenance tool
Guest channels
- website chat
- in-room QR
- phone
Property information
- Facilities, policies and concierge list
Staff
- Front desk and duty manager
A Request Is a Request Until Your Team Confirms It
The agent never promises what only staff can deliver. An early check-in, an upgrade or a late checkout is recorded as a request and confirmed by the front desk. Rates and availability are read from your system at that moment.
A hotel must protect its guests' privacy. The agent does not confirm that anyone is staying, disclose a room number or share reservation details without the identity check you define.
- Answers from approved property information
- Rates and availability read live
- Requests never presented as promises
- Tasks routed to the right team
- Recommendations from your own list
- Guest presence never disclosed
What Buyers Ask First
How is this different from the restaurant orders and reservations agent?
A hotel's core is rooms and stays: availability, rates, arrival and the many small requests during a stay. A restaurant's is tables and food. A hotel with a restaurant can run both on the same conversation channel.
Does it take payment for bookings?
It hands the guest to your booking engine's payment step, or records a booking your system holds under its own booking rules. It does not collect card details in a chat.
How is this different from the travel disruption agent?
The concierge serves one property's guests. The disruption agent serves travellers whose journey has changed, across flights, transfers and bookings. A delayed guest might talk to both.
What exists today?
Not as software yet. This page describes a proposed workflow. It would reuse the approved-knowledge answers, the booking logic and the handover with context that run in our demonstrations on test data. Room availability, in-stay request routing and connection to a property management system are not built. A project starts by mapping your process, then proving the first steps on test data before anything touches a live system.
List the Questions Your Front Desk Hears Most
And the requests that most often go wrong at shift change. Those two lists are the first version of the agent.
