AI fraud detection in Dunedin.

For Dunedin operators who want a working pilot in weeks, not a year-long programme.

AI fraud detection for a Dunedin operator

Honest scoping before we quote a cent. If we don't think we can move the needle, we'll tell you on the first call.

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 Dunedin 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 Dunedin 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.

The shape of the result for Dunedin teams: Recovers 3-5x its cost in caught fraud within 6 months. Built on Claude, hardened with the rest of the stack as it scales.

Why Dunedin businesses are a fit for this.

Education, health, tech, and a tourism shoulder season that hits hard. AI helps Dunedin teams smooth the peaks and protect the people.

We work with teams in

CBDNorth DunedinSouth DunedinMosgielPort ChalmersGreen Island

What we build

AI fraud detection, tailored to Dunedin businesses.

Built on: ClaudeDuckDBPostgresVercel

Common questions

Before you book the call.

How long does AI fraud detection take to ship for Dunedin businesses? +

We aim for a working pilot inside 4-6 weeks – narrow scope, real Dunedin businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

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.

Who owns the code and the model setup? +

You do, on delivery. We deploy AI fraud detection into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too – we don't operate it from ours.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

Back to the form ↑