Automotive

AI Diagnostic Appointment Booking for Auto Repair Shops

A car that needs a look is a call that cannot wait a day: the check-engine light just came on, the brake pedal feels wrong, and the driver is deciding between your shop and two others right now. This workflow answers that call, takes a description of the symptoms, matches the problem to the right technician's slot, and confirms a diagnostic appointment with an honest sense of how long the shop needs to look at it.

The check-engine call

Most diagnostic calls are anxious and short on detail: a light on the dash, a noise when turning, a smell that should not be there. The caller wants to know whether the car can be brought in today and roughly how long the shop needs. These calls arrive at every hour, including the moment the shop floor is under a job, and a diagnostic slot left unbooked is a job that simply moves to the shop that answered.

Collecting the symptoms

The agent asks the questions a service advisor would ask: what is the car doing, when did it start, does it happen at a certain speed or on a cold start, is any warning light on. It records the make, model, and year and notes the symptoms into a clean job intake. The agent explains what a diagnostic appointment includes from the shop's own notes, such as the inspection time and the diagnostic fee, and is clear that an exact repair cost is only possible after the shop has looked at the car.

Sizing the appointment

The agent matches the described problem to the shop's calendar: an electrical issue goes to a slot with the technician who handles diagnostics, a brake check to a different lane of work. It offers the next real opening that fits the service type and books it, then sends a WhatsApp confirmation with the time and what the shop will do first. If the symptom sounds urgent, the agent passes the call straight to the shop rather than trying to manage an emergency by text.

The engine light at 4:30

1

A caller says the check-engine light came on this morning. The agent takes the make, model, and year, then asks whether the light blinks or stays steady and whether the car runs normally.

2

The caller says it is steady and the car drives fine. The agent explains that a diagnostic check can still go ahead and offers the next technician slot that fits.

3

The caller books for tomorrow at 8:30, and the agent sends the WhatsApp confirmation with the time, the diagnostic fee from the shop's notes, and what to leave at the counter.

4

The symptom notes and the car details land in the shop's job intake, so the technician opens the morning already knowing what to look at.

Illustrative example — not a customer testimonial.

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