AI fraud detection in Greymouth.
AI fraud + anomaly - wired into a Greymouth workflow, not bolted on the side.
Mining, dairy and tourism all lean on Greymouth for servicing and supplies. We build AI that handles the job sheets, compliance and invoicing behind that work.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
On the tools or running at scale, the admin still eats the week :)
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.
What AI fraud detection actually does
Pattern-watching AI for refund abuse, chargebacks, fake reviews, employee fiddles, and odd supplier invoices. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
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.
Business in Greymouth.
Greymouth is the commercial, professional, retail and manufacturing centre of the West Coast, and much of the servicing for coal, gold and aggregate mining is based there.
The Grey District has about 30 per cent of the West Coast's mining employment.
Less admin.
More weekend.
No theatre.
What you get
The shape of the result for Greymouth 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 annual contracts
- No AI theatre
Straight answers
Has this actually shipped for a real Greymouth?
Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the call.
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.
What's the realistic timeline for AI fraud detection with a Greymouth?
Most Greymouth 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".
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.
Can the AI run on New Zealand-hosted cloud?
Yes, the options now exist. Microsoft opened a New Zealand cloud region in December 2024 and AWS followed in September 2025, both with local data residency.
Talk to us about AI fraud detection
StartContact us
Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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