Every auto repair shop business we've worked with has a different definition of "broken". AI meeting notes only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.
Auto repair shops · Applied AI
For auto repair shops who want results in weeks, not a year-long transformation programme.
What AI meeting notes actually does
Every call, site visit, or toolbox talk captured, summarised, and turned into action items in your CRM or project tool. No more 'who was meant to do that?'.
- 01 Works on Teams, Zoom, Meet, or in-person recordings
- 02 Action items auto-pushed to ClickUp, Asana, or Jira
- 03 Searchable history across every meeting your team holds
- 04 Confidentiality controls – what stays internal, stays
Built on: Whisper Claude Recall.ai Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
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.
How we build AI meeting notes 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. AI meeting capture.
Talk to usThe outcome for auto repair shops
The shape of the result for auto repair shops: Saves managers ~5 hours a week on follow-up admin. Built on Whisper, 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.
Questions
FAQ
How fast could we have AI meeting notes in production?
Eight to ten weeks for most auto repair shops. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
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.
Do you have proof this works for auto repair shops?
Direct case study: Saves managers ~5 hours a week on follow-up admin. Happy to walk you through full numbers on a call.
What if our auto repair shop doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI meeting notes specifically, we typically run that work on Whisper, Claude, Recall.ai, Vercel and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Get in touch
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.