Victoria · Applied AI

AI fraud detection in Geelong

Built and supported here – the way a Geelong business would actually use it.

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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.

We've worked with enough operators in Geelong to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI fraud detection project is sit with your team for a day before we propose anything.

Built on: Claude DuckDB Postgres Vercel

Why Geelong businesses choose this

Geelong has rebuilt itself around health, education and advanced manufacturing since the car plants closed – AI here supports a city that's already proven it can reinvent.

The Geelong context, plainly.

A major hospital redevelopment, Deakin University's waterfront campus, and a manufacturing base that's shifted from cars to precision and renewables work. Geelong teams want AI that fits a city used to modernising fast.

We work with teams across Geelong: Geelong CBD · Newtown · Belmont · Corio · Ocean Grove · Torquay.

How we build AI fraud detection for a Geelong team

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Geelong business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.

AI fraud + anomaly.

The outcome for Geelong teams

What changes for Geelong 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.

Recovers 3-5x its cost in caught fraud within 6 months.

AI fraud detection in Geelong – common questions

How long does AI fraud detection take to ship for Geelong businesses?

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

Do you have proof this works for Geelong businesses?

Direct case study: Recovers 3-5x its cost in caught fraud within 6 months. Happy to walk you through full numbers on a 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.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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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.