The reason we take on work in Pukekohe is that the businesses here tend to be sharper about what they want than the brief lets on. AI fraud detection for a Pukekohe team almost always ends up looking different to AI fraud detection for a downtown Auckland one.
Auckland · Applied AI
AI fraud detection that lives in your stack, not on a vendor's roadmap. Shipped from Auckland.
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
Without Kiwi Dynamics
With Kiwi Dynamics
Auckland
Our field notes from Pukekohe builds.
- Franklin and South Auckland's growth corridor – horticulture, food processing, and trades supporting a constant build boom.
- Vegetable growing, food processing, and a rapidly expanding residential market. AI tools that respect long days and small teams win.
We work with teams across Pukekohe: Pukekohe · Waiuku · Tuakau · Bombay · Patumāhoe.
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How we build AI fraud detection for a Pukekohe team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Pukekohe business, so value lands before the build is finished. AI fraud + anomaly.
Talk to usThe outcome for Pukekohe teams
If we build the right slice first, Pukekohe 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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 Pukekohe 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.
What's the realistic outcome for Pukekohe businesses?
Recovers 3-5x its cost in caught fraud within 6 months. We don't promise tenfold lifts because we don't see them outside of marketing decks.
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 Pukekohe team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Get in touch
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.