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AI Receptionist Test Kit
Ten test calls to check whether an AI receptionist is ready for your auto repair shop.

I would not hire a new Service Advisor from a two-minute demo. I would not put an AI receptionist in front of customers that way either.
The useful question is not whether the voice sounds human. The useful question is whether the system follows your rules when a caller asks for an exact price, a same-day promise, a vehicle update, or help with an unsafe car.
This test kit is vendor-neutral. Use it with repair-specific options such as Rosie or AutoLeap AIR, or use it with any other AI call-answering service. It runs entirely in your browser and does not send or store your results. If you are still deciding where AI belongs in the shop, start with my guide to AI for auto repair shops.
Interactive scorecard
Run ten calls before a customer does.
Call your AI receptionist from a number it does not recognize. Read each script naturally, score what happens, and save the failures for retraining. Nothing you enter here is sent or saved.
- 1.
Call. Use a new number and the exact test script.
- 2.
Score. Check only behavior you actually observed.
- 3.
Retest. Fix every failure, then rerun all ten calls.
Hard-stop review
Any checked item means the system is not ready, regardless of its numeric score.
Current result
0 / 40
Not ready
The system is missing too many operating rules. Narrow its job, improve the approved source material, and retest before a live pilot.
What To Do With The Results
Save every bad transcript. For each failure, decide whether the problem came from missing source information, a bad rule, a weak handoff, or a task the AI should not handle at all.
Then narrow the job. A receptionist that reliably captures after-hours messages is more useful than one that books calls while making promises your floor cannot keep.
Start with after-hours or overflow calls. Review every call for the first two weeks. Track wrong answers, missed transfers, cleanup time, and appointments that were actually kept. Add more responsibility only after the narrow version is boring.
FAQs
- How should an auto repair shop test an AI receptionist?
- Call from an unfamiliar number and use realistic scenarios that test prices, appointments, vehicle status, safety concerns, upset customers, and human transfers. Score only what the system actually does, then fix failures and rerun the complete test.
- What should an AI receptionist never promise?
- It should not invent prices, diagnoses, discounts, warranty decisions, appointment availability, parts arrivals, or completion times. It should use approved information and route uncertain requests to a person.
- Should a repair shop disclose that a caller is speaking with AI?
- Transparency, call recording, consent, and retention requirements can vary by location and setup. Review the current laws and your provider's configuration with qualified counsel before launch.
Keep the promise connected to the floor.
BayBoard gives your team one live view of technician workload, blocked work, carryover, and the jobs that need to move today.
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