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Example engagement · Automotive & Dealerships

AI Service Booking Agent for a Dealership Group

A voice and SMS agent that books, moves and confirms service appointments in the DMS and answers status questions, around the clock.

Scroll
68% → 96%
Service calls answered
+21%
Appointments booked
+9%
Revenue per repair order from offered maintenance
Profile — Dealership group, 5 rooftops, about 4,000 service calls a monthTimeline — 6 weeks to the first rooftop, 10 weeks to all fiveTeam — 3 engineers
Representative engagement: a composite of the AI work we deliver in this industry, not a named client's project. Figures are the outcomes this kind of build typically delivers, and they are the targets we agree and measure in a pilot before scaling.
The problem

Service lines were busy every morning, many calls went unanswered, and advisors juggled phones while checking in customers.

What we build

The approach.

  • 01Integrated with the DMS scheduler and the shop's capacity rules.
  • 02Handled bookings, reschedules and status questions by phone and SMS.
  • 03Offered recall and maintenance work on the customer's vehicle when due.
  • 04Transferred anything unusual to an advisor with a summary.
Where the AI works

The agent understands the request, checks real shop capacity, books the slot and offers due maintenance, then confirms by text.

Claude APITwilio Voice and SMSTypeScriptDMS API (CDK / Reynolds)
Proof, not promises

How we measure it.

Answered calls come from the phone system. Bookings and repair-order revenue come from the DMS, compared with the same months the year before.

Questions

Before you ask.

It connects to CDK and Reynolds and Reynolds through their partner programs, and to other DMS platforms through their scheduling tools.

Yes, at any point. The agent transfers with a summary so customers do not repeat themselves.

Let's put AI to work in your business.

A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.

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