A Portland auto repair shop deployed AI voice for diagnostic triage. The AI asked 5-7 questions to filter out calls that didn't require shop visits — saving 30% of unnecessary diagnostic appointments.

Results at a glance

Primary metric: 30% fewer unnecessary diagnostics
Secondary: $14,000/year saved

Background

Industry: Auto Repair
Location: Portland, OR
Business size: 4 bays

The challenge

The shop used Vapi with custom triage logic. The AI asked about symptoms, vehicle info, and recent repairs — then either booked an appointment or recommended the caller try a simpler fix first (e.g., check gas cap for check engine light).

The solution

The shop used Vapi with custom triage logic. The AI asked about symptoms, vehicle info, and recent repairs — then either booked an appointment or recommended the caller try a simpler fix first (e.g., check gas cap for check engine light).

Results

Saved diagnostic time: 80 hours/year × $175/hour = $14,000. AI agent cost: $2,400/year. ROI: 6x on time savings alone.

Key takeaways for your business

  • The highest-ROI use case for auto repair is typically after-hours capture and missed-call recovery
  • Even small deployments (single location, few employees) can generate 6-figure returns
  • Payback periods under 2 weeks are common in service industries
  • The key is consistent configuration and weekly iteration for the first 90 days

For more industry-specific guidance, see our auto repair playbook and ROI benchmarks by industry.