Hotel Operations
This is where Whispr is different from a chatbot: service requests become structured cases, routed to the right team, registered in your PMS where supported, tracked to completion — and closed back to the guest.
Case opened14:02
Request · Maintenance · Room 412 — "AC isn't cooling properly"
Team notified14:02
Maintenance group alerted on Telegram, in the team's language
PMS task created14:03
Native trace registered in the hotel's PMS, assigned to maintenance
Accepted · in progress14:11
A technician takes the case — status visible to the whole team
Completed — one tap14:36
Closed from Telegram with the localized ✓ Done button
Guest updated automatically14:36
"Your AC has been fixed — thank you for your patience!" — in the guest's language
From message to closed case
When Whispr AI recognizes a service request, complaint, reservation inquiry, or safety issue, it opens a structured case with its own status timeline — new, notified, accepted, in progress, completed. Nothing lives only in a chat scroll.
Configurable routing rules match each case to the right department and people — by operation type, urgency, working hours, and role. One rule can cover one property or several.
The team gets the case in their Telegram operations group or on WhatsApp, in their own language, with a deep link into the console — and a one-tap ✓ Done button to close it. Typed closures work too, in every supported language.
Where your PMS supports it, the request is also registered as a native PMS task (a trace), assigned to the right department — no double entry for your team.
SLA timers watch every case and re-alert staff when a request has waited too long. Two people closing the same case at once can't double-close it — the workflow is built for real shift-floor chaos.
When staff mark the work done, Whispr automatically tells the guest — in their language, referencing their original request. The loop actually closes.
Departments
Eight departments out of the box, matched by the same hospitality-trained model that reads the message — with a confidence guard, so a low-confidence guess never routes a case.
Terminology
The tracked unit of work inside Whispr — one per guest request, complaint, reservation inquiry, or safety issue, with a full event timeline and status.
The alert your team receives on Telegram or WhatsApp when a case needs them — localized, actionable, and linked back to the case.
The task object your PMS natively understands. Whispr creates one per eligible case in supported systems, so operational work also exists where your hotel already manages it.
Honest by design
If a guest message somehow sat unprocessed beyond the freshness cutoff, Whispr deliberately skips the late AI reply, flips the conversation to your team, and alerts them — because a two-hour-late automated answer is worse than a human one.
The operational side still runs — the case, the routing, the PMS task. Only the guest-facing auto-reply is withheld. Your team answers with full context instead.
See what your managers learn from all this operational history.
Explore Guest Insights →In the demo we take one real scenario — a broken AC, a missing cot, a table for four — and follow it end to end through your workflow.
