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 an auto repair shop is paying for the same problem to be solved twice.
For auto repair shops who want results in weeks, not a year-long transformation programme.
Our goal is to give auto repair shops a three-day weekend, so people can spend more time with their families and the people they love :)
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
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI lead generation runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for auto repair shops first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI lead generation compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
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.
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 an auto repair shop business, so value lands before the build is finished. Get me new leads.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing auto repair shops the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.