AI lead reactivation is overhyped at the macro level and underused at the workflow level. For a NZ auto repair shop, that gap is where the actual ROI lives - and where most of our work happens.
The version of AI lead reactivation that auto repair shops still use a year after launch.
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 reactivation actually does
Your CRM is sitting on a graveyard of old leads that went quiet. An AI reactivation agent works through them at scale - researches what's changed at their business, writes a relevant re-entry message, and only books a meeting when there's a real reason to reconnect.
- 01 Scores every dormant lead by reactivation likelihood
- 02 Detects buying-trigger events (funding, hiring, product launches)
- 03 Personalised re-entry message referencing what's actually changed
- 04 Reports back which leads to bin and which to call this week
Built on: Claude for research + writing Clay / Apollo for signal data HubSpot / Salesforce / Pipedrive Slack digest of warm wake-ups
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 reactivation 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 reactivation 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 |
Where most auto repair shops engagements actually deliver value.
- 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 reactivation 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. Wake up cold pipeline.
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
We'd call the engagement a success when auto repair shops are using the system without thinking about us. An Auckland agency reactivated 18 deals worth $340k from 2,000 'dead' CRM leads in a single 6-week sweep.
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 long does AI lead reactivation take to ship for auto repair shops?
We aim for a working pilot inside 4-6 weeks - narrow scope, real auto repair shops data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Anyone else in this space using AI lead reactivation?
Plenty. An Auckland agency reactivated 18 deals worth $340k from 2,000 'dead' CRM leads in a single 6-week sweep. 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.
Who owns the code and the model setup?
You do, on delivery. We deploy AI lead reactivation into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude for research + writing sits in your account too - we don't operate it from ours.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.