Marlborough · Applied AI

AI fraud + anomaly – wired into a Blenheim workflow, not bolted on the side.

Blenheim businesses don't need another generic AI pitch. AI fraud detection only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Marlborough.

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

Marlborough

What Blenheim teams tell us when they get on a call.

  • Marlborough is wine, aquaculture, and tourism – three industries running on tight margins where AI quickly pays for itself.
  • Vineyards, cellar doors, mussel farms, and a thriving cycle-trail tourism economy. AI here means forecasting the season and never missing a booking.

We work with teams across Blenheim: CBD · Renwick · Picton · Havelock · Seddon.

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How we build AI fraud detection for a Blenheim team.

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

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The outcome for Blenheim teams

If we build the right slice first, Blenheim teams feel the difference inside the first month. 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

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

What's the smallest engagement you'd take on?

A two-week paid discovery for Blenheim 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.

Do you have proof this works for Blenheim businesses?

Direct case study: Recovers 3-5x its cost in caught fraud within 6 months. Happy to walk you through full numbers on a call.

What tools do you build AI fraud detection on?

For AI fraud detection we usually reach for Claude, DuckDB, Postgres, Vercel. We're tool-agnostic at heart – we pick what your Blenheim team can actually run after we hand the build over, not what looks good on a vendor sticker.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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