Kiwi Dynamics

Bay of Plenty · Applied AI

Built and supported here – the way a Tauranga business would actually use it.

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Most of our Tauranga 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

Bay of Plenty

The Tauranga context, plainly.

  • Tauranga is one of NZ's fastest-growing cities – and with growth comes admin. AI here clears the backlog so teams can keep up.
  • Horticulture, marine, logistics through the Port of Tauranga, and a booming services scene. Local businesses want AI that scales with seasonal swing.

We work with teams across Tauranga: Mount Maunganui · Papamoa · Bethlehem · Greerton · Tauriko · Te Puke · Katikati.

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How we build AI fraud detection for a Tauranga team.

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

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The outcome for Tauranga teams

We'd call the engagement a success when Tauranga 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

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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

When does AI fraud detection actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Tauranga – so the savings start landing before the rest of the build is finished.

How do you price AI fraud detection engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Tauranga businesses are surprised how small the first cheque is.

Do you have proof this works for Tauranga businesses?

Direct case study: Recovers 3-5x its cost in caught fraud within 6 months. Happy to walk you through full numbers on a call.

Will this run on our own infrastructure?

Yes, where it makes sense. AI fraud detection can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, DuckDB, Postgres, Vercel but the architecture supports your existing platform choices.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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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.