AI fraud detection in Waiheke Island.
AI fraud + anomaly - wired into a Waiheke Island workflow, not bolted on the side.
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.
Waiheke fills up every summer with visitors heading for the vineyards and beaches. We automate bookings, enquiries and seasonal staff admin for the island's small teams.
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
- 11 public holidays, plus yours
- Government work is tendered on GETS
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.
What Waiheke Island runs on.
Tourism is an important part of the Waiheke economy, with visitors drawn to its beaches and boutique vineyards, and up to a quarter of adult summer residents work in tourism-related jobs.
Waiheke is a 35-minute ferry ride from Auckland's city centre. The island's population swells every summer with visitors.
Small team.
Real systems.
Zero fluff.
What AI fraud detection covers
The shape of the result for Waiheke Island 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 shelfware or licences you do not use
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Straight answers
How fast could we have AI fraud detection in production?
Eight to ten weeks for most Waiheke Island 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 Waiheke Island 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.
Anyone else in this space using AI fraud detection?
Plenty. Recovers 3-5x its cost in caught fraud within 6 months. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
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.
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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