Otago · Applied AI

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

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.

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

Otago

Why Dunedin businesses are a fit for this.

  • Dunedin pairs a strong university research culture with practical southern businesses. AI here means proven tools, not hype.
  • 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 across Dunedin: CBD · North Dunedin · South Dunedin · Mosgiel · Port Chalmers · Green Island.

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How we build AI fraud detection for a Dunedin team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Dunedin business, so value lands before the build is finished. AI fraud + anomaly.

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The outcome for Dunedin teams

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.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

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.

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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.