AI fraud detection in Gisborne.
AI fraud + anomaly, built for businesses operating in Gisborne.
Cyclone Gabrielle hit about half of Tairāwhiti's horticulture land. As businesses rebuild, we automate the quoting, reporting and scheduling that eats the week.
Gisborne, up close.
Tairāwhiti's economy is dominated by the primary sector, with agriculture, horticulture and forestry around 20 per cent of direct GDP, and more than a quarter of the regional economy depends directly on Eastland Port.
More than one in four households in the region has someone whose job depends on forestry.
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.
- NZISM for government work
- What the Privacy Commissioner expects
- Xero, founded in New Zealand
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. Kiwi Dynamics
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.
Built differently, on purpose.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
How the work runs
We find the one workflow costing Gisborne businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Straight answers
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.
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.
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.
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.
Do you work with Xero?
Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.
Talk to us about AI fraud detection
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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