Broome sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI fraud detection template would catch.
AI fraud detection that lives in your stack, not on a vendor's roadmap. Shipped from 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
Without Koala Dynamics
With Koala Dynamics
What we keep seeing in Broome.
- Broome is Kimberley tourism and pearling, with a dry-season economy that has to earn a full year in six months.
- Tourism, pearling, Indigenous enterprise and remote services across an enormous region. The wet season shuts much of it down, so peak-season capacity is the whole commercial question.
We work with teams across Broome: Broome CBD · Cable Beach · Old Broome · Bilingurr · Derby.
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How we build AI fraud detection for a Broome team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Broome business, so value lands before the build is finished. AI fraud + anomaly.
Talk to usThe outcome for Broome teams
If we build the right slice first, Broome 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.
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".
Is AI fraud detection worth it for a smaller Broome?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Has this actually shipped for a real Broome?
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 Broome 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.
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.