AI fraud detection in Whangārei.
AI fraud + anomaly - wired into a Whangārei workflow, not bolted on the side.
Made for New Zealand paperwork.
Checks invoices and changed bank details against the supplier you actually deal with, and flags anything that does not match before it is paid.
- GST at 15 per cent
- 11 public holidays, plus yours
- What the Privacy Commissioner expects
Whangārei moves timber out and fuel in through Marsden Point. We automate the dispatch records, contractor paperwork and invoicing for the firms that keep it running.
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.
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
What Whangārei runs on.
Northport at Marsden Point is New Zealand's northernmost deep-water port and mostly exports logs, woodchip and timber, while Channel Infrastructure's Marsden Point terminal imports fuel for Auckland and Northland.
Auckland and Northland make up about 40 per cent of New Zealand's fuel demand, supplied through the Marsden Point terminal.
Small team.
Real systems.
Zero fluff.
What AI fraud detection covers
What changes for Whangārei teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided.
- 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
How it works in Whangārei
We find the one workflow costing Whangārei businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Questions Whangārei businesses ask
What's the smallest engagement you'd take on?
A two-week paid discovery for Whangārei 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.
How fast could we have AI fraud detection in production?
Eight to ten weeks for most Whangārei 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 Whangārei 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.
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.
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.
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