AI that classifies a 12-second voice note in under a second, routes the task, matches a lost earring to its owner, and turns a guest like or dislike into a profile update immediately — with a human still in the loop and a paper trail your auditor would smile at.
A staff member taps the mic. A guest sends a message. A note arrives by email. We don't care which.
Streaming multilingual transcription handles accents, noise and context — tuned for real conversations.
LLM extracts service type, location, urgency, sentiment — with a confidence score on each.
The classified service type and area are matched to actual records in your tenant — not invented.
On-shift, in-zone, with the right skill tag. The task lands on a phone with the original audio attached for context.
Housekeeping snaps a photo. Within a second, the model writes a structured description — material, colour, type, distinctive marks — and indexes the item against every guest who's checked out in the last 30 days.
Feedbacks have consequences. The model breaks each one into themes, tags sentiment, and routes the negatives as tickets and the positives as recognitions. By the time you walk in, the work has names against it.
The AI proposes; a human accepts, edits, or overrides. Every override becomes training data for tomorrow's model.
Every classification, every match, every route — logged with model version, input, output. Forever.
If a service type or room ID isn't in your tenant database, we map against a fallback with the user seeing the actual details — we don't invent.
Hospitality language, accents, slang, abbreviations. Trained on actual hotel data — not the open web.
Photo → description → owner match → guest WhatsApp.
TripAdvisor, Booking, in-stay surveys — themed and actioned.
Live in 88 properties. Multilingual. Sub-second latency.
Hospitality-toned drafts for guest messaging — review and send.
Understands that guest is conveying a preference and does PMS updates automatically.
If a thread is "going wrong", a manager gets a heads-up immediately.
Create a ticket based on the comments on a checklist automatically. Track corrective action properly.
No more form filling. Just type in the guest feedback and feedback created automatically.
Click a photo. Enter the area. Create a Lost and Found ticket automatically.