For Perth operators who want a working pilot in weeks, not a year-long programme.

Our goal is to give Perth businesses a three-day weekend, so people can spend more time with their families and the people they love :)

The version of AI fraud detection that works for a Perth business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.

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 you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI fraud detection compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKoala Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

Why Perth businesses are a fit for this.

  • Perth's economy is mining, energy and the services that support a huge FIFO workforce - AI here means automating the scheduling, compliance and reporting load those industries run on.
  • Resources companies and their contractor networks generate enormous amounts of compliance paperwork, rostering and site reporting. Perth businesses want AI that handles that load without needing a mining engineer to configure it.

We work with teams across Perth: CBD · Fremantle · Joondalup · Rockingham · Midland · Osborne Park.

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How we build AI fraud detection for a Perth team.

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

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How the work runs

The outcome for Perth teams

What changes for Perth teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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.

Try the calculator

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

We aim for a working pilot inside 4-6 weeks - narrow scope, real Perth 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.

How do you price AI fraud detection engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Perth businesses are surprised how small the first cheque is.

Anyone else in this space using AI fraud detection?

Plenty. Recovers 3-5x its cost in caught fraud within 6 months. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

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.

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.