Tasman · Applied AI

AI fraud detection designed around the way a Motueka team actually runs.

The reason we take on work in Motueka is that the businesses here tend to be sharper about what they want than the brief lets on. AI fraud detection for a Motueka team almost always ends up looking different to AI fraud detection for a downtown Auckland one.

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

Tasman

Our field notes from Motueka builds.

  • Motueka is hops, apples, and a steady tourism flow toward Abel Tasman – AI here helps growers and operators handle peak weeks without panic.
  • Horticulture, hospitality serving Abel Tasman tourism, and a small but resilient services sector. AI tools that work for owner-operators fit.

We work with teams across Motueka: Motueka · Mapua · Tasman · Riwaka · Kaiteriteri.

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How we build AI fraud detection for a Motueka team.

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

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The outcome for Motueka teams

The shape of the result for Motueka 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 quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

Is AI fraud detection worth it for a smaller Motueka?

Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

Has this actually shipped for a real Motueka?

Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the call.

What tools do you build AI fraud detection on?

For AI fraud detection we usually reach for Claude, DuckDB, Postgres, Vercel. We're tool-agnostic at heart – we pick what your Motueka team can actually run after we hand the build over, not what looks good on a vendor sticker.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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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.