Otago · Applied AI

AI fraud + anomaly, built for businesses operating in Queenstown.

Most of our Queenstown engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI fraud detection is then designed against the detail, not the shape.

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

Otago

Where Queenstown operators actually lose hours.

  • Queenstown's economy is tourism on rails – peak season is chaos, shoulder season is brutal. AI smooths both.
  • Hospitality, accommodation, adventure operators, and a tight labour pool that empties every winter. AI here means coverage when staff can't be hired.

We work with teams across Queenstown: CBD · Frankton · Arrowtown · Jack's Point · Arthurs Point · Wanaka.

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How we build AI fraud detection for a Queenstown team.

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

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The outcome for Queenstown teams

If we build the right slice first, Queenstown 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

What's a typical engagement length for Queenstown businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

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.

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.

Can you work with our existing systems?

Yes. The default AI fraud detection stack we reach for is Claude, DuckDB, Postgres, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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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.