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AI support desk for garages and car dealerships

A garage’s customer questions fit in three sentences: where is my car, how much will it cost, when can I come in. The agent answers them alone by reading the DMS and the workshop diary, and only disturbs the team for real decisions.

In your day-to-day

A typical scenario

An independent garage: two mechanics, the owner at the counter, forty calls a day — half of them asking whether the car is ready.

  1. 01

    On Sunday a customer sends a photo of her lit-up dashboard. The agent identifies the warning light, says whether she can drive and books the first Monday slot.

  2. 02

    Approaching roadworthiness-test deadlines trigger a message with two slots to choose from — the diary fills up across the slow weeks.

  3. 03

    At handover, “what exactly was the part you changed?”: the answer arrives with the detailed repair order and the invoice explained line by line.

What changes

The counter stops being a switchboard. Answers go out without interrupting either the reception or the man under the lift.

Order of magnitude

Working assumptions

  • 40 calls a day, 60% of them about status, slots or documents
  • 3 minutes per call, not counting the interrupted job in the workshop

More than an hour of counter time back every day — and dozens fewer interruptions, which shows up directly in the workshop’s invoiced hours.

Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.

What eats your days

How it works

  1. 1

    The agent learns your business

    It is fed your real sources: FAQ, documentation, ticket history, business rules. It only answers what it can source — no improvising.

  2. 2

    Autonomous resolution, fenced

    Recurring requests — tracking, invoices, procedures — are resolved end to end. Anything outside the fence goes to the human queue with a sourced draft reply already written.

  3. 3

    Supervision and continuous improvement

    Every conversation is reviewed by our engineers in the first weeks. The autonomous-resolution rate rises as the agent earns reliability — never the other way round.

Typical results

60%

of tickets resolved with no human involved, observed in production

3 min

first response, 24/7

×3

handling capacity for the same team

Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.

Frequently asked questions

Does the agent read our DMS to give the real vehicle status?+

Yes, that is the whole point: it reads the DMS read-only and answers with the repair order’s actual state, not a generic formula. Where integration is impossible, it works from existing exports or reports.

What does it do if a customer disputes an estimate or the work done?+

It gives the factual elements — approved estimate, work performed, photos if you attach them — and hands over to your workshop manager with the history as soon as the exchange becomes a dispute.

Is this the problem eating your team’s time?

Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.

Get my free diagnostic

Free resource

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Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.