Orange 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 New South Wales.
AI fraud detection that lives in your stack, not on a vendor's roadmap. Shipped from New South Wales.
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 Orange.
- Orange runs on agriculture, cool-climate wine, gold mining at Cadia and a regional health sector, which is an unusually diverse mix for a city its size.
- Cadia gold mine, a strong horticulture and wine sector, and a base hospital that serves the Central West. The services businesses here juggle mining clients on procurement terms and farm clients on a season, and both need different handling.
We work with teams across Orange: Orange CBD · Glenroi · Bletchington · Calare · Millthorpe.
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How we build AI fraud detection for a Orange team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Orange business, so value lands before the build is finished. AI fraud + anomaly.
Talk to usThe outcome for Orange teams
Recovers 3-5x its cost in caught fraud within 6 months. For Orange teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
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 Orange?
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.
What's the realistic outcome for Orange 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.
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 Orange team can actually run after we hand the build over, not what looks good on a vendor sticker.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.