Central Otago · Applied AI

Built and supported here – the way a Cromwell business would actually use it.

We've worked with enough operators in Cromwell to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI fraud detection project is sit with your team for a day before we propose anything.

What AI fraud detection actually does

Pattern-watching AI for refund abuse, chargebacks, fake reviews, employee fiddles, and odd supplier invoices. Flags weirdness early – before it's a real problem.

  • 01 Learns your normal patterns and flags outliers
  • 02 Daily anomaly report, not a constant alert flood
  • 03 Explainable scoring so you can act with confidence
  • 04 Integrates with Xero, Shopify, and POS systems

Built on: Claude DuckDB Postgres Vercel

Central Otago

Where Cromwell operators actually lose hours.

  • Central Otago is wine, horticulture, and a tourism corridor that connects Wānaka and Queenstown – AI here turns short seasons into solid years.
  • Vineyards, cherry and stone-fruit orchards, and accommodation serving year-round tourist flows. AI tools that handle seasonal staffing earn keep fast.

We work with teams across Cromwell: Cromwell · Bannockburn · Alexandra · Clyde · Roxburgh.

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How we build AI fraud detection for a Cromwell team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Cromwell business, so value lands before the build is finished. AI fraud + anomaly.

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The outcome for Cromwell teams

We'd call the engagement a success when Cromwell teams are using the system without thinking about us. Recovers 3-5x its cost in caught fraud within 6 months.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

When does AI fraud detection actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Cromwell – so the savings start landing before the rest of the build is finished.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Has this actually shipped for a real Cromwell?

Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the call.

Will this run on our own infrastructure?

Yes, where it makes sense. AI fraud detection can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, DuckDB, Postgres, Vercel but the architecture supports your existing platform choices.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.