AI fraud detection for gyms.
Built for the gym who's already tried the off-the-shelf option and bounced off it.
Spots members going quiet and follows up personally, timed around school holidays and the start of each term.
The shape of every gym brief we've seen.
Gyms and studios live or die on membership retention, and most churn happens quietly, weeks before someone cancels.
Lead follow-up, trial conversion, and renewal reminders are the levers that decide a gym's membership numbers.
What AI fraud detection actually does
Pattern-watching AI for refund abuse, chargebacks, fake reviews, employee fiddles, and odd supplier invoices. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
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.
On the tools or running at scale, the admin still eats the week :)
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.
Less admin.
More weekend.
No theatre.
What AI fraud detection covers
What changes for gyms 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
Good questions, answered
What's the smallest engagement you'd take on?
A two-week paid discovery for gyms 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.
Anyone else in this space using AI fraud detection?
Plenty. Recovers 3-5x its cost in caught fraud within 6 months. 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.
What tools do you build AI fraud detection on?
For AI fraud detection we usually reach for Claude, DuckDB, Postgres, Vercel. We're tool-agnostic at heart - we pick what your gym team can actually run after we hand the build over, not what looks good on a vendor sticker.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
Do you respond to government tenders?
Most large government contracts are advertised on GETS, the Government Electronic Tender Service, where suppliers register with RealMe.
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