Southland · Applied AI

AI fraud detection designed around the way a Invercargill team actually runs.

Invercargill 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 Southland.

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

Southland

What we keep seeing in Invercargill.

  • Southland businesses are stoic, practical, and patient – AI gets traction when it shows up working, not promised.
  • Dairy, aquaculture, manufacturing, and a tight services market. AI in Southland needs to install once and run quietly for years.

We work with teams across Invercargill: CBD · Hawthorndale · Waikiwi · Bluff · Gore · Riverton.

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How we build AI fraud detection for a Invercargill team.

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

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The outcome for Invercargill teams

We'd call the engagement a success when Invercargill 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

How fast could we have AI fraud detection in production?

Eight to ten weeks for most Invercargill 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's the smallest engagement you'd take on?

A two-week paid discovery for Invercargill 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.

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 if our Invercargill 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.

Sketch this with us.

We'll map your real workflow before quoting anything.

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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.