Maintenance
Capture vehicle details and the requested maintenance item, then use the appropriate service duration or advisor route.
Rules worth deciding before launch
- Year/make/model and service intent captured where relevant
- Correct appointment category instead of generic calendar booking
- No diagnosis or driving-safety assurance
- Estimate claims limited to approved information
- Advisor handoff for unusual or inspection-dependent questions
What the receptionist should do well
A strong implementation reduces the number of ordinary calls that depend on someone stopping work to answer a phone. It should capture the details your team uses, give only approved information, and move each caller toward a real next action. If a downstream system is unavailable or the conversation moves outside the approved workflow, the caller should get a clear fallback instead of a fabricated answer.
How to test the Automotive workflow
Test ordinary requests, an after-hours call, an out-of-area caller, a caller who is unclear about what they need, a request for a human, a failed booking attempt and at least one situation that must never be automated. Inspect the appointment, transfer, message or callback result—not just the transcript.
Automotive AI receptionist questions
Can it collect year, make and model?
Yes. Those fields can be required for service intents where they help the shop select the correct appointment or prepare the advisor.
Can it quote repair prices?
Only when the shop has approved a specific price or range for that exact service. Inspection-dependent repairs should be routed for advisor review rather than guessed.
Can different services use different appointment lengths?
Yes, if the connected scheduling workflow supports service categories and the shop defines the rules.
What if the caller asks whether the car is safe to drive?
The receptionist should not make that safety determination. It can follow the shop’s approved towing, emergency or human-handoff guidance.