AI lead generation for auto mechanics.

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

Small crew or big organisation, the busywork is the same :)

Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

Reminders timed to each car's WoF, which from 1 November 2026 moves to every two years for many 4 to 14 year old vehicles.

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.

Made for New Zealand paperwork.

Finds businesses in your area that fit your best customers, using public records like the NZBN register, and drafts a first approach.

  • An annual return every year
  • WoF rules change November 2026
  • GST at 15 per cent

An AI agency, minus the theatre.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

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

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. Kiwi Dynamics

Already buried in admin? We'll sort the first workflow for you :)

Nine hours a week of admin is 468 hours a year. That could drop to about 52.*

*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.

Good questions, answered

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 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.

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.

Is our data kept in New Zealand?

Kiwi Dynamics hosts its own infrastructure in New Zealand, under New Zealand governance. If personal information ever has to go offshore, privacy principle 12 requires comparable protection.

Can AI help with payday filing?

It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.

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