Most of our Kalgoorlie 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.
AI fraud + anomaly, built for businesses operating in Kalgoorlie.
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 Koala Dynamics
With Koala Dynamics
Why Kalgoorlie businesses are a fit for this.
- Kalgoorlie is gold - the Super Pit and a whole services economy around a fly-in workforce.
- Gold mining, mining services and a FIFO population that changes the customer base week to week. Rostering, callouts and after-hours contact are where the time actually goes.
We work with teams across Kalgoorlie: Kalgoorlie CBD · Boulder · South Kalgoorlie · Hannans · Coolgardie.
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How we build AI fraud detection for a Kalgoorlie team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Kalgoorlie business, so value lands before the build is finished. AI fraud + anomaly.
Talk to usThe outcome for Kalgoorlie teams
What changes for Kalgoorlie 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
When does AI fraud detection actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Kalgoorlie - so the savings start landing before the rest of the build is finished.
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 Kalgoorlie 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.
Will this run on our own infrastructure?
Yes, where it makes sense. AI fraud detection can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, DuckDB, Postgres, Vercel but the architecture supports your existing platform choices.
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.