Most of our Masterton engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI fraud detection is then designed against the detail, not the shape.
Wairarapa · Applied AI
For Masterton operators who want a working pilot in weeks, not a year-long programme.
What AI fraud detection actually does
Pattern-watching AI for refund abuse, chargebacks, fake reviews, employee fiddles, and odd supplier invoices. Flags weirdness early – before it's a real problem.
- 01 Learns your normal patterns and flags outliers
- 02 Daily anomaly report, not a constant alert flood
- 03 Explainable scoring so you can act with confidence
- 04 Integrates with Xero, Shopify, and POS systems
Built on: Claude DuckDB Postgres Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
Wairarapa
Why Masterton businesses are a fit for this.
- Wairarapa runs on agriculture, wine, and a thriving lifestyle-block community – AI here lets small operators run on bigger leverage.
- Sheep and beef, viticulture, and a tourism flow from Wellington commuters. AI tools that respect rural broadband budgets land best.
We work with teams across Masterton: Masterton CBD · Carterton · Greytown · Featherston · Martinborough.
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How we build AI fraud detection for a Masterton team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Masterton business, so value lands before the build is finished. AI fraud + anomaly.
Talk to usThe outcome for Masterton teams
We'd call the engagement a success when Masterton teams are using the system without thinking about us. Recovers 3-5x its cost in caught fraud within 6 months.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
What's a typical engagement length for Masterton businesses?
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.
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.
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.
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.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.