New South Wales · Applied AI
AI fraud detection in Sydney
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.
Sydney 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.
- 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 Sydney businesses choose this
Sydney runs on finance, professional services and a tech scene chasing Melbourne for the national crown – AI here has to survive a genuinely competitive market, not just look good in a pitch.
The pattern across Sydney engagements we've shipped.
ASX-listed HQs, the big four banks, and a startup corridor from Surry Hills to Chippendale sit alongside a huge professional services layer of legal, accounting and consulting firms. Sydney businesses have already tried AI once, so we build for teams who want the second attempt to actually stick.
We work with teams across Sydney: CBD · North Sydney · Parramatta · Surry Hills · Chatswood · Sydney Olympic Park.
How we build AI fraud detection for a Sydney team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Sydney 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 Sydney teams
Recovers 3-5x its cost in caught fraud within 6 months. For Sydney teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Recovers 3-5x its cost in caught fraud within 6 months.
AI fraud detection in Sydney – common questions
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".
What's the smallest engagement you'd take on?
A two-week paid discovery for Sydney businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Recovers 3-5x its cost in caught fraud within 6 months.
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 Sydney 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.
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.