AI fraud detection in Paraparaumu.
Built and supported here - the way a Paraparaumu business would actually use it.
Built around how New Zealand works.
Checks invoices and changed bank details against the supplier you actually deal with, and flags anything that does not match before it is paid.
- ACC levies set by industry
- Data that stays in New Zealand
- Holidays Act until August 2028
More than a quarter of Kāpiti workers are self-employed, many in tech. One-person businesses feel admin hardest, so we automate GST, invoicing and follow-ups first.
How Kiwi Dynamics works
We find the one workflow costing Paraparaumu businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Small crew or big organisation, the busywork is the same :)
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.
One workflow.
In production.
In weeks.
What you get
The shape of the result for Paraparaumu teams: Recovers 3-5x its cost in caught fraud within 6 months.
- Learns your normal patterns and flags outliers
- Daily anomaly report, not a constant alert flood
- Explainable scoring so you can act with confidence
- Integrates with Xero, Shopify, and POS systems
- No AI theatre
- No shelfware or licences you do not use
Built differently, on purpose.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Paraparaumu, up close.
Kāpiti is growing food and beverage, tech, tourism and the creative industries, and food and beverage manufacturing has a long history in the district.
Kāpiti's self-employment rate was 27.8 per cent in 2022, against 16 per cent nationally.
Good questions, answered
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 Paraparaumu - so the savings start landing before the rest of the build is finished.
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.
Has this actually shipped for a real Paraparaumu?
Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the call.
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.
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.
Talk to us about AI fraud detection
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