Auckland · Applied AI

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

We've worked with enough operators in Auckland 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

Auckland

Why Auckland businesses are a fit for this.

  • Auckland businesses move fast and pay the highest wages in the country – AI that automates real work pays back here before anywhere else.
  • From CBD professional services to West Auckland tradies and South Auckland manufacturers, the common thread is wage cost and labour scarcity. We build for that.

We work with teams across Auckland: CBD · North Shore · West Auckland · South Auckland · Manukau · Albany · Mt Eden · Newmarket.

Talk to us about this →

How we build AI fraud detection for a Auckland team.

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

Talk to us

The outcome for Auckland teams

If we build the right slice first, Auckland 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

Start a conversation

*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.

Try the calculator

*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 long does AI fraud detection take to ship for Auckland businesses?

We aim for a working pilot inside 4-6 weeks – narrow scope, real Auckland businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

What's the realistic outcome for Auckland 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.

Who owns the code and the model setup?

You do, on delivery. We deploy AI fraud detection into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too – we don't operate it from ours.

Skip the pitch.

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

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.