AI fraud detection in Ashburton.
AI fraud detection that lives in your stack, not on a vendor's roadmap. Shipped from Canterbury.
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.
Mid Canterbury moved from sheep and grain to dairy, dairy support and seed crops. The paperwork grew with it, and that is the part we automate.
Ashburton, up close.
Agriculture and its support industries drive the district, and reliable irrigation has moved land from sheep and grain towards dairy, dairy support and high value crops such as seed.
The Rangitata Diversion Race carries water for stock, irrigation and hydro generation across the plains. Most New Zealand dairy herds calve in spring, July to September.
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.
- An annual return every year
- KiwiSaver now 3.5 per cent
- Holidays Act until August 2028
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
The shape of the result for Ashburton 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
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
Straight answers
How fast could we have AI fraud detection in production?
Eight to ten weeks for most Ashburton businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What if our Ashburton doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI fraud detection specifically, we typically run that work on Claude, DuckDB, Postgres, Vercel and assume messy starting conditions from day one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Ashburton businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Can you work to the NZISM?
The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.
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.
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