Victoria · Applied AI
AI fraud detection in Melbourne
Built and supported here – the way a Melbourne business would actually use it.
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.
The version of AI fraud detection that works for a Melbourne business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
- 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
Why Melbourne businesses choose this
Melbourne's economy runs on education, healthcare, retail and a dense creative and hospitality sector – AI earns its keep here on volume and margin, not novelty.
Where Melbourne operators actually lose hours.
Two of the country's biggest universities, a major hospital network, and a retail and hospitality scene that never really slows down. Melbourne teams are practical about tools that save real hours across rosters, bookings and back-office work.
We work with teams across Melbourne: CBD · Docklands · Richmond · St Kilda · Box Hill · Dandenong.
How we build AI fraud detection for a Melbourne team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Melbourne 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 Melbourne teams
The shape of the result for Melbourne 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.
Recovers 3-5x its cost in caught fraud within 6 months.
AI fraud detection in Melbourne – common questions
What's a typical engagement length for Melbourne businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
What's the realistic outcome for Melbourne 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.
Can you work with our existing systems?
Yes. The default AI fraud detection stack we reach for is Claude, DuckDB, Postgres, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
Get in touch
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.