AI fraud detection for physiotherapists.
AI fraud detection that fits a physiotherapist's week, not the other way around.
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.
Notes, bookings and invoicing prepared by AI, so the physio spends the appointment with the patient.
Small crew or big organisation, the busywork is the same :)
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.
If we build the right slice first, physiotherapists feel the difference inside the first month. Recovers 3-5x its cost in caught fraud within 6 months. Kiwi Dynamics
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.
What we keep hearing from NZ physiotherapists.
Physio clinics run tight appointment books where a single no-show or late reschedule costs real revenue.
ACC paperwork, rebooking, and treatment plan follow-ups eat the hours physios would rather spend with patients.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Straight answers
Do you have proof this works for physiotherapists?
Direct case study: Recovers 3-5x its cost in caught fraud within 6 months. Happy to walk you through full numbers on a call.
What's a typical engagement length for physiotherapists?
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.
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
Can you work to the NZISM?
The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.
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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