Most of our Ballarat 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 Ballarat.
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
Where Ballarat operators actually lose hours.
- Ballarat runs on health, education, government services and manufacturing, and it is close enough to Melbourne to compete for the same clients.
- A large regional health sector, Federation University, government service centres and a real manufacturing base. Businesses here pitch against Melbourne firms, so response time is often the whole differentiator.
We work with teams across Ballarat: Ballarat CBD · Wendouree · Sebastopol · Alfredton · Bakery Hill.
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How we build AI fraud detection for a Ballarat team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Ballarat business, so value lands before the build is finished. AI fraud + anomaly.
Talk to usThe outcome for Ballarat teams
The shape of the result for Ballarat teams: Recovers 3-5x its cost in caught fraud within 6 months. Built on Claude, hardened with the rest of the stack as it scales.
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 long does AI fraud detection take to ship for Ballarat businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real Ballarat 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.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
What's the realistic outcome for Ballarat 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.
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.