AI fraud detection in New Plymouth.

AI fraud + anomaly, built for businesses operating in New Plymouth.

Taranaki runs on dairy, energy and engineering, with one of the highest GDPs per capita in the country. We automate the tenders, timesheets and compliance that slow it down.

What AI fraud detection actually does

Pattern-watching AI for refund abuse, chargebacks, fake reviews, employee fiddles, and odd supplier invoices. With the right workflow automated, nine hours of admin a week could drop to about one.*

*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.

The shape of the result for New Plymouth 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. Kiwi Dynamics

Business in New Plymouth.

Taranaki has long excelled in energy, engineering, manufacturing, and food and fibre, and dairy and hydrocarbons are the two key commodities driving the regional economy.

Taranaki has one of the highest GDPs per capita in New Zealand. Most New Zealand dairy herds calve in spring, July to September.

An AI agency, minus the theatre.

We say when AI is not the answer

Production first, demo second

You keep the hours, the data and the system

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

From one-person trades to national organisations, we find the hours :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

How the work runs

We find the one workflow costing New Plymouth businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

Good questions, answered

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.

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 New Plymouth - so the savings start landing before the rest of the build is finished.

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.

What does the Privacy Commissioner expect before we use AI?

Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.

Can it remind us about the annual return?

Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.

Talk to us about AI fraud detection

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