What your AI receptionist does in Garage Hive: data, setup traps, questions

AI receptionists can now answer every call, capture the booking, and write it straight into Garage Hive. Done right, it feels like a switched‑on service advisor working 24/7. Done badly, it creates duplicate customers, wrong jobs, and mangled diaries. Here’s what actually happens on a call, the fields that matter, where garages trip up, and what to ask a vendor before switching it on.

What actually happens during the call

• Call routing: Your number points to the AI receptionist (or overflows there when you’re busy). It greets in your name, follows your opening hours, and can hand off to a human when needed.
• Identify the caller: It reads caller ID, then asks for the full name and registration (VRM). If the number matches a Garage Hive customer, it pulls the record; if not, it prepares to create one.
• Look up the vehicle: With a VRM, it can fetch make/model and year via your existing VRM lookup or stored data in Garage Hive. If VRM lookup isn’t enabled, it asks for make/model manually.
• Understand the job: It classifies the request (MOT class 4/7, interim/full service, tyres, diagnostics, brakes, air con, etc.). Good systems use your service catalogue and durations from Garage Hive, not guesses.
• Check capacity: It queries your Garage Hive diary rules for the correct branch/bay/team and finds slots long enough for that job type, respecting working hours, bank holidays, and blocking rules.
• Offer options: It proposes a small set of specific slots (e.g. “Wed 10:30” or “Thu 14:00”). If the caller wants to wait, it only offers “while‑you‑wait” slots you’ve allowed.
• Confirm and create: Once agreed, it creates the appointment/booking in Garage Hive with the job line(s), links the customer and vehicle, adds notes from the conversation, and sets the right duration.
• Notify and log: It sends a confirmation by SMS/email (either via Garage Hive or its own sender), and writes a call summary. The booking shows who created it (the integration user), with timestamps. Many garages also attach the call recording/transcript to the booking or customer timeline for audit.

Cancellations and reschedules follow a similar pattern: verify the caller, find the booking in Garage Hive, adjust the slot, and send updated confirmations. Trade calls, breakdowns and safety‑critical issues can be auto‑routed to a human line based on keywords you set.

The Garage Hive fields that matter

Get these mapped and you avoid 90% of headaches:

• Customer
  • Full name (first/last as separate fields)
  • Primary phone (mobile preferred), secondary phone
  • Email
  • Postcode and address (at least postcode initially, address can follow by link)
  • Communication consent flags (SMS/email) if you capture them on the call
• Vehicle
  • VRM (mandatory for most bookings)
  • Make/model/year auto‑filled where possible
  • Fuel/EV if it affects durations/eligibility
  • Mileage (optional but useful for service plans and advisories)
• Booking/Appointment
  • Branch/site
  • Job type(s) mapped to your Garage Hive services (e.g. MOT Class 4, Interim Service, 2x 205/55 R16 tyres, Brake inspection)
  • Duration pulled from Garage Hive service settings
  • Diary/resource/bay where you actually schedule
  • Date/time
  • Wait/drop, collect‑and‑deliver, courtesy car required
  • Notes from the call (warning lights, noises, tyre sizes, locking wheel nut, key drop)
  • Source/channel (e.g. “AI receptionist – out of hours”) for reporting
• Tyres specifics (when applicable)
  • Size (e.g. 205/55 R16 91V), quantity, axle
  • Brand preferences or budget/cap option
  • Stock/lead time note if you don’t hold it
• MOT specifics
  • Class (4/7), expiry month if volunteered
  • Retest eligibility note if you have local rules

Two rules of thumb: the AI should only create what a human would, and it should prefer linking to existing records over creating new ones.

Setup pitfalls and how to avoid them

• Wrong service mappings: If “Interim Service” in the AI maps to the wrong Garage Hive service code or duration, your diary breaks. Export your live service list, agree exact mappings, and test each one.
• Duplicates everywhere: Matching only on phone or only on name creates twins. Use a combination of phone + VRM, and prompt for spelling on common surnames. Enable fuzzy matching with human review for edge cases.
• Tyre chaos: No tyre size equals the wrong rubber ordered. Make size and quantity mandatory for tyre bookings and capture load/speed rating. If you won’t book tyres without stock, have the AI create a callback task instead.
• EV/hybrid and specialist work: If you don’t take EV HV work, or only certain bays do, encode that rule. The AI should decline or route to a human rather than booking you into trouble.
• Diary permissions: Point the integration at the right diary/resource groups per branch. If it can see “all bays”, it’ll fill valeters with MOTs.
• Opening hours and holidays: Feed exact hours, lunch breaks, training days and bank holidays. Many bad bookings are just calendar gaps you forgot to block.
• Quotes and prices: If your policy is “no phone quotes” or “menu prices only”, state it. Loose prompts lead to guess‑quotes you can’t honour.
• Deposits and T&Cs: If you take deposits, use payment links and log the reference in the booking notes. Don’t let any AI take card details by voice.
• Missed confirmations: Decide whether confirmations come from Garage Hive or the AI vendor. Double‑sending confuses customers; no‑sending creates no‑shows.
• Testing in production: Spin up a staging or test branch first. Place 20–30 scripted calls covering MOT, service, tyres, diagnostics, reschedule, cancellation, wrong‑VRM, trade, and breakdown. Check every booking in Garage Hive.

Questions to put to any vendor

• Garage Hive write‑back: Do you create real bookings/appointments, or just tasks/leads? Can you add job lines and durations from my actual service catalogue?
• Record matching: How do you prevent duplicate customers and vehicles? Do you match on phone + VRM and show me potential matches?
• Diary control: How do you respect my bay/resource rules, technician skills, and while‑you‑wait slots? Can I exclude resources or cap daily MOTs?
• Multi‑site: How do you route calls and bookings across branches? Can callers pick, or do you route by postcode?
• Tyres: How do you capture size/load/speed? Can you avoid booking without stock and instead raise a callback task?
• Policy guardrails: Can I set rules like “no quotes”, “no EV HV”, “decline own parts”, “safety‑critical route to human”?
• Cancellations/reschedules: Can callers change bookings by phone/SMS? How do you verify identity and update Garage Hive?
• Notifications: Do confirmations and reminders send via Garage Hive or your system? Can I customise templates?
• Audit and QA: Do you attach call recordings/transcripts or summaries to the Garage Hive timeline? Is there an audit trail of who created/edited bookings?
• Failure handling: If Garage Hive is down or rate‑limited, what happens? Do you queue and retry, or fall back to messages?
• Security and data: Where is data stored (UK/EU)? How long are recordings kept? Are you ICO‑registered and using scoped Garage Hive API keys?
• Support and changes: How fast can you update mappings, bank holidays, new services? What’s the SLA during MOT season?
• Pricing clarity: Is billing per minute, per call, or per booking? Any extra fees for multi‑site, out of hours, or transcripts?

A simple rollout plan

• Standardise your service list and durations in Garage Hive.
• Decide booking rules (what you will/won’t book, by site).
• Map fields and services with the vendor; enable VRM lookup.
• Configure diary access and opening hours/bank holidays.
• Choose confirmation/reminder sender and templates.
• Test with real scenarios; review bookings and transcripts.
• Go live with overflow first, then move to full in‑hours if happy.

If you want a closer look at how an AI receptionist purpose‑built for UK garages handles Garage Hive bookings, see case studies at /case-studies or try a guided setup at /get-started.