AI fraud detection for chiropractors.
The version of AI fraud detection that chiropractors still use a year after launch.
Bookings, reminders and patient follow-ups handled by AI, so the practice runs smoothly between adjustments.
How Kiwi Dynamics works
We find the one workflow costing chiropractors the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
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.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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.
If we build the right slice first, chiropractors feel the difference inside the first month. Recovers 3-5x its cost in caught fraud within 6 months. Kiwi Dynamics
Chiropractors need software built around their week, not against it.
Chiropractic clinics run on repeat visits, and keeping a treatment plan on schedule takes constant follow-up.
Rebooking and treatment plan adherence are what most affect a chiropractic clinic's outcomes and revenue alike.
Straight answers
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
What's a typical engagement length for chiropractors?
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.
Can the AI run on New Zealand-hosted cloud?
Yes, the options now exist. Microsoft opened a New Zealand cloud region in December 2024 and AWS followed in September 2025, both with local data residency.
What does the Privacy Commissioner expect before we use AI?
Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.
Let's chat
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