AI fraud detection for auto mechanics.
The version of AI fraud detection that auto repair shops still use a year after launch.
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.
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.
Built around how New Zealand works.
Checks invoices and changed bank details against the supplier you actually deal with, and flags anything that does not match before it is paid.
- WoF rules change November 2026
- Holidays Act until August 2028
- Serious breaches get reported
On the tools or running at scale, the admin still eats the week :)
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.
Less admin.
More weekend.
No theatre.
What AI fraud detection covers
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.
- Learns your normal patterns and flags outliers
- Daily anomaly report, not a constant alert flood
- Explainable scoring so you can act with confidence
- Integrates with Xero, Shopify, and POS systems
- No shelfware or licences you do not use
- No annual contracts
How the work runs
We find the one workflow costing auto repair shops the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Straight answers
How do you price AI fraud detection engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most auto repair shops are surprised how small the first cheque is.
What's the realistic outcome for auto repair shops?
Recovers 3-5x its cost in caught fraud within 6 months. We don't promise tenfold lifts because we don't see them outside of marketing decks.
Will this run on our own infrastructure?
Yes, where it makes sense. AI fraud detection can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, DuckDB, Postgres, Vercel but the architecture supports your existing platform choices.
Can it keep our building records in order?
Yes. Restricted building work must be done or supervised by a Licensed Building Practitioner, who provides a Record of Building Work, and AI can keep those filed per job.
Can it remind us about the annual return?
Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.
Let's chat
StartContact us
Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
Was this helpful?
Thanks, your comment is with our team.


