Auto repair shops · Applied AI

For auto repair shops who want results in weeks, not a year-long transformation programme.

Most auto repair shops we talk to aren't short of dashboards or tools – they're short of an hour back in the week. That's the lens we put on AI lead generation: not a tech showcase, but a careful look at the one or two workflows where a auto repair shop is paying for the same problem to be solved twice.

What AI lead generation actually does

An AI agent that finds new leads matching your best customers, validates the contact details, and feeds a continuous trickle of qualified prospects into your CRM – every week, without you lifting a finger.

  • 01 Lookalike modelling from your closed-won accounts
  • 02 Multi-source enrichment (LinkedIn, Companies Office NZ, web)
  • 03 Email + phone validation before anything hits your CRM
  • 04 Weekly leaderboard of the hottest accounts to chase

Built on: Claude for ICP scoring + research Apollo, Clay, LinkedIn Sales Navigator NZ Companies Office data HubSpot / Salesforce / Pipedrive

On the ground with NZ auto repair shops

The pattern across most auto repair shops we work with.

  • Mechanics quote from underneath a car and answer the phone from underneath a car, and one of those always loses.
  • Booking, quoting, and parts follow-up are the admin layer that decides how many cars a workshop can turn over in a week.
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How we build AI lead generation for auto repair shops.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a auto repair shop business, so value lands before the build is finished. Get me new leads.

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The outcome for auto repair shops

The shape of the result for auto repair shops: An NZ B2B software company built a 300-lead/week pipeline on autopilot – entire SDR seat returned. Built on Claude for ICP scoring + research, hardened with the rest of the stack as it scales.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

What's the smallest engagement you'd take on?

A two-week paid discovery for auto repair shops that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

Anyone else in this space using AI lead generation?

Plenty. An NZ B2B software company built a 300-lead/week pipeline on autopilot – entire SDR seat returned. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.

What tools do you build AI lead generation on?

For AI lead generation we usually reach for Claude for ICP scoring + research, Apollo, Clay, LinkedIn Sales Navigator, NZ Companies Office data, HubSpot / Salesforce / Pipedrive. We're tool-agnostic at heart – we pick what your auto repair shop team can actually run after we hand the build over, not what looks good on a vendor sticker.

Sketch this with us.

We'll map your real workflow before quoting anything.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.