An AI Receptionist Built for Auto Repair and Service Calls

Capture service scheduling requests

The AI can collect preferred days and times, service type, and vehicle information for a faster booking process.

• Routine maintenance vs diagnostic request
• Preferred appointment windows
• Vehicle year, make, model

Route estimate and diagnostic calls

Estimate calls need structure: symptoms, warning lights, and timing help your team respond accurately.

• Symptoms and conditions captured
• Safety and drivability prompts
• Summary sent to the right queue

Reduce “status call” disruption

“Is my car ready?” calls interrupt work. The AI can capture the customer’s name and vehicle details and route the request cleanly.

• Customer name and callback number
• Vehicle or RO reference prompts (if you use them)
• Best time to return the call

Service intake details that reduce back-and-forth

A good first conversation gathers enough information to route properly and schedule correctly.

• Name, phone, and preferred contact method
• Vehicle year, make, model (and mileage if offered)
• Problem description and when it started
• Drivability and safety cues (your script)

Intent-based routing for shop workflows

Calls can be routed differently based on what the customer needs.

• Schedule: maintenance or diagnostic booking request
• Estimate: symptom capture and next-step routing
• Status: route to service writer queue with context
• Emergency: safe guidance and escalation rules you approve

FTC: Auto Repair Basics

Guidance on written estimates, approvals, and repair communication.

Federal Trade Commission: Auto Repair Basics

Example state requirements for written estimates

Laws vary by state. Some states publish clear written estimate requirements for repair work.

North Carolina: Written Motor Vehicle Repair Estimate (PDF)