AI fraud detection in Whakatāne.
AI fraud detection designed around the way a Whakatāne team actually runs.
How much is the admin really costing 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.
Dairy, kiwifruit, forestry and manufacturing keep the Eastern Bay busy. We automate the rosters, supplier invoices and compliance records that pile up at harvest.
Knows the New Zealand rules.
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
- KiwiSaver now 3.5 per cent
- An annual return every year
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.
Business in Whakatāne.
The Rangitāiki Plains support intensive dairy farming and horticulture including kiwifruit, avocados and citrus, forestry is a major industry, and manufacturing remains a cornerstone of the district.
The Whakatāne District is widely known as one of New Zealand's food baskets. Kiwifruit picking and packhouse work run from about March to mid-June.
Built differently, on purpose.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Small team.
Real systems.
Zero fluff.
What you get
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 annual contracts
- No shelfware or licences you do not use
Good questions, answered
Can you walk us through a comparable build?
Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Recovers 3-5x its cost in caught fraud within 6 months.
What's the realistic timeline for AI fraud detection with a Whakatāne?
Most Whakatāne businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".
What happens if we want to swap a vendor out later?
AI fraud detection is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, DuckDB, Postgres, Vercel are our defaults, but the build is intentionally portable.
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.
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
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