AI fraud detection in Masterton.
For Masterton operators who want a working pilot in weeks, not a year-long programme.
What this is
AI fraud + anomaly
Pattern-watching AI for refund abuse, chargebacks, fake reviews, employee fiddles, and odd supplier invoices. Flags weirdness early – before it's a real problem.
Recovers 3-5x its cost in caught fraud within 6 months.
How it helps your Masterton team
What you actually get.
- 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
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.
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.
Why Masterton businesses are a fit for this.
Sheep and beef, viticulture, and a tourism flow from Wellington commuters. AI tools that respect rural broadband budgets land best.
We work with teams in
What we build
AI fraud detection, tailored to Masterton businesses.
- 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
Common questions
Before you book the call.
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.
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