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.

    • 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.

    • 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.