AI fraud detection that lives in your stack, not on a vendor's roadmap. Shipped from Western Australia.

Mandurah 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 Western Australia.

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

What we keep seeing in Mandurah.

  • Mandurah is a Perth commuter and retirement city, with construction and home services carrying the local economy.
  • Coastal residential growth, aged care, tourism and the trades behind them. A large retiree customer base means phone-first service and a lot of repeat scheduling.

We work with teams across Mandurah: Mandurah CBD · Halls Head · Falcon · Meadow Springs · Pinjarra.

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How we build AI fraud detection for a Mandurah team.

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

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The outcome for Mandurah teams

We'd call the engagement a success when Mandurah 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 Koala Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

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 Mandurah 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.

Has this actually shipped for a real Mandurah?

Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the 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 Mandurah 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.