Gisborne · Applied AI

AI fraud + anomaly, built for businesses operating in Gisborne.

The version of AI fraud detection that works for a Gisborne business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.

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

Gisborne

Where Gisborne operators actually lose hours.

  • Tairāwhiti runs on horticulture, forestry, and tight-knit communities – AI here is about lightening admin so people stay on the land and the boat.
  • Strong Māori economy, agriculture, and tourism shoulder peaks. AI tools that work offline and bilingually find a fast home here.

We work with teams across Gisborne: CBD · Kaiti · Mangapapa · Ruatoria · Wairoa.

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How we build AI fraud detection for a Gisborne team.

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

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The outcome for Gisborne teams

If we build the right slice first, Gisborne teams feel the difference inside the first month. 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

What's a typical engagement length for Gisborne 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.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Do you have proof this works for Gisborne 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.

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.

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.