AI fraud detection for dog groomers.
AI fraud detection that fits a dog groomer's week, not the other way around.
Appointments, reminders and pet notes handled automatically, so nobody has to put the clippers down for the phone.
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
From one-person trades to national organisations, we find the hours :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Dog groomers run their businesses unlike anyone else.
Groomers run tight appointment slots where a single no-show leaves an expensive gap in the day.
Booking confirmations and reminder texts are the simplest lever for cutting no-shows in a grooming business.
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.
- What the Privacy Commissioner expects
- Serious breaches get reported
- Holidays Act until August 2028
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
One workflow.
In production.
In weeks.
What AI fraud detection covers
If we build the right slice first, dog groomers feel the difference inside the first month.
- 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 AI theatre
- No shelfware or licences you do not use
Good questions, answered
What's a typical engagement length for dog groomers?
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.
Can you work with our existing systems?
Yes. The default AI fraud detection stack we reach for is Claude, DuckDB, Postgres, 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.
What's the realistic outcome for dog groomers?
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.
Can it keep track of ACC levies?
Yes. ACC work levies are set by the classification unit your work falls under, and self-employed people are invoiced after filing their tax return.
Does it keep up with KiwiSaver changes?
It has to. The minimum employer contribution rose to 3.5 per cent on 1 April 2026 and rises to 4 per cent on 1 April 2028.
Talk to us about AI fraud detection
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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