- Where it gets stuck
- Booking.com messages, WhatsApp, email and phone notes reach different people. The same question about parking or a late check-out gets answered three times, or not at all.
- What the workflow does
- Messages are gathered in one queue and a reply is drafted from the booking in the PMS and your house rules. The receptionist approves or edits it, and any request that affects housekeeping becomes a task for them.
AI for independent hotels
A guest asks for a late check-out on WhatsApp while housekeeping is already planning room 12.
We draft the guest reply, the review response and the morning handover. Reception or the manager approves before anything is sent.
For an independent hotel, AI is useful on the messages and handovers that fall between people: guest questions arriving on several channels, replies to reviews, and the morning handover between reception, housekeeping and maintenance. A workflow reads your PMS and inboxes, prepares the reply or the task list, and a staff member approves it before anything goes out. We have no hotel client yet, so the first test runs on your own messages, reception approves every reply, and you decide afterwards whether to continue.
Today
- Late check-out requestArrived on WhatsApp, housekeeping not toldLost between shifts
- Review mentioning noiseSame template as the complimentsComplaint never reaches the morning meeting
- Broken shower in room 7Noted on paper at nightRoom sold anyway
With the workflow
- Reply to the guestDrafted from the booking and the housekeeping plan: housekeeping hears first, then reception repliesReception approves
- Review responseWritten for this stay, issue flagged for the morning meetingManager approves
- Morning handoverArrivals, requests and blocked rooms from the PMS and the night audit logFront office manager approves
Three moments when a hotel team still holds everything together by hand
Each one comes back every day, depends on information already in your PMS or inboxes, and ends with a staff member’s decision.
Guest questions arrive on four channels
Reviews wait for someone with time to answer
- Where it gets stuck
- Replies to Google and booking-site reviews pile up, and a complaint about noise gets the same template as a compliment.
- What the workflow does
- Each new review is read alongside the stay, a reply is drafted in the hotel’s tone and the manager approves it. Problems that keep coming back are listed for the morning meeting.
The morning handover lives on paper
- Where it gets stuck
- Arrivals, departures, room status and the broken shower in 7 are passed on by word of mouth, and something always slips between the night and morning shifts.
- What the workflow does
- A daily handover is prepared from the PMS and the night audit log: arrivals, special requests, rooms to prioritise and open maintenance. The front office manager approves it before the shift starts.
These are examples of flows to scope with you: we have no hotel client yet. So the first flow runs as a test on your own messages: its length and the time reception spends approving are agreed before it starts, and at the end you see the time saved and decide whether to continue.
Which flow should you start with?
Three questions, about a minute. The answer points to one of the moments above, or to a smaller step when a workflow would be too much.
Answer the three questions to see where to start.
This is an exercise: nothing is sent when you use this selector.
Do we have to change our PMS?
No. The workflow reads what is already in your PMS and inboxes, prepares the reply or the task, and returns it to the channel it came from once a staff member has approved it.
- A message or booking arrivesBooking.com, Expedia, WhatsApp or email.
- The booking and house rules are readThe reservation in your PMS and the answers you approved.
- A reply or task is preparedIn the hotel’s tone, with the facts it relied on.
- A staff member decidesReception or the manager approves, edits or drops it.
- Back into your toolsThe reply leaves from its original channel and the task is noted in the PMS.
- PMS
- Channel manager
- Booking.com
- Expedia
- Gmail
- Outlook
- Google reviews
Three conditions before anything acts
Your existing tools
The workflow runs inside the tools you already pay for, with the access rights they already have, so the team keeps its usual screens.
A named person approves
Every draft waits for a named person. Nothing goes out in the hotel’s name without that approval, and exceptions go back to a human.
Every step leaves a trace
Sources, drafts, corrections and approvals are recorded, so you can see why an output was prepared and improve the next one.
Two ways to work with us
Questions hotel owners and managers ask us
Which hotels is this for?
Independent hotels and small groups where the owner or the manager still answers guests, replies to reviews and organises the morning handover. A hotel with a central revenue and guest relations team usually has other needs.
How is this different from ChatGPT?
Where ChatGPT answers whatever you type into it, a workflow starts when a message or booking arrives, reads the reservation and your house rules, prepares the reply in the hotel’s tone and waits for a staff member’s approval. It also keeps a record of what was sent and corrected.
Can you connect our PMS, Booking.com messages or reception WhatsApp?
Tell us which PMS and channel manager you use on the call: we check what they allow (a direct connection, the daily export or the confirmation emails) before anything is built, and we tell you which steps would stay manual.
Where does guest data go?
The workflow reads only the bookings and inboxes you authorise, from the accounts agreed in scope, and each client deployment is isolated. The access list, hosting and model choices are written down before the build.
What should we start with?
The flow where things get lost most often, usually guest messages across channels or the morning handover. Use the selector on this page, then bring three real examples to a 30-minute call.
Have you done this for other hotels?
No, not yet. Our documented client work is in professional services. For a hotel, we scope one flow, test it on your real messages with a staff member approving each output, and decide with you whether it is worth continuing.
Will guests end up talking to a robot?
No message leaves without a staff member’s approval while the flow is being tested. Whether some replies can later go out automatically is a decision for the hotel, taken on the evidence of that test.
Bring three real examples from this week. Blurred screenshots are fine.
In 30 minutes we look at where information slips between people, which tools hold it and who approves, and whether one flow is worth testing.
