Case study, anonymised
Bookings and missed-call recovery.
An independent restaurant group closed the missed-call gap with an AI receptionist that captures bookings, flags allergies and writes directly to the reservations system.
Missed-call return
Within minutes
Bookings
Direct to system
Run-sheet flags
Allergies, party size
Sites
Multi-site rollout
What changed
Before and after the audit.
AreaBeforeAfter
- Missed calls during serviceVoicemail full by 8pm. Bookings lost.AI returns the call, books or hands back to a manager.
- Reservations systemBookings retyped from notebook to system.AI writes directly to the reservations system with confirmation.
- Allergies and notesScribbled on order pads, sometimes missed.Flagged on the run-sheet before service starts.
- RecoveryNo outreach after a missed call.Scoped follow-up message with one-tap rebook link.
Cost model
Modelled, not promised.
Figures below are modelled from the audit. Final numbers depend on cover counts, current tools and integration scope.
LineBeforeAfter (modelled)
- Missed-call gapEstimated 10 to 25 lost bookings / weekCaptured and routed (modelled)
- Manager time on phones1 to 2 hours / service20 to 40 minutes / service (modelled)
- Recurring software£120 to £260 / mo across separate toolsfrom £149 / mo managed care
The floor manager sees the note before service starts. The voicemail black hole is gone.
Operator, anonymised restaurant group
See whether this pattern fits your venue.
Start with a small audit. We map your booking flow, call patterns and reservations system, then recommend what to keep, connect or rebuild.