Auto repair shops · Applied AI

The version of AI photo tagging that auto repair shops still use a year after launch.

When a auto repair shop asks us about AI photo tagging, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.

What AI photo tagging actually does

Job-site photos, property listings, product shots, before/afters – auto-tagged, captioned, and filed in seconds. Search your photo library like it's a database.

  • 01 Auto-tag with content, room, defect, or product type
  • 02 Generates listing captions and alt text for SEO
  • 03 Detects safety hazards in site photos
  • 04 Filing into your DAM, project tool, or Drive

Built on: Claude Vision Replicate Cloudinary Vercel

The auto repair shops reality

What we keep hearing from NZ auto repair shops.

  • 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 photo tagging 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 vision + tagging.

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The outcome for auto repair shops

What changes for auto repair shops after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Photo admin time cut from hours per week to minutes.

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.

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*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

What's a typical engagement length for auto repair shops?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Can you walk us through a comparable build?

Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Photo admin time cut from hours per week to minutes.

Can you work with our existing systems?

Yes. The default AI photo tagging stack we reach for is Claude Vision, Replicate, Cloudinary, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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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.