Central Region · Applied AI
AI fraud detection in Novena
AI fraud + anomaly, built for businesses operating in Novena.
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.
Most of our Novena 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.
- 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 Novena businesses choose this
Novena is Singapore's medical hub, dense with private hospitals and specialist clinics – AI here means handling patient-facing and admin work with genuine care around accuracy.
Where Novena operators actually lose hours.
One of the highest concentrations of private hospitals and specialist medical centres in the region, serving both local patients and medical tourism. Clinics here want AI that reduces admin load without ever compromising on precision.
We work with teams across Novena: Novena Medical Centre · Thomson · Balestier · Toa Payoh · Newton.
How we build AI fraud detection for a Novena team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Novena 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 Novena teams
We'd call the engagement a success when Novena teams are using the system without thinking about us. 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 Novena – common questions
When does AI fraud detection actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Novena – so the savings start landing before the rest of the build is finished.
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.
Anyone else in this space using AI fraud detection?
Plenty. Recovers 3-5x its cost in caught fraud within 6 months. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI fraud detection can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, DuckDB, Postgres, Vercel but the architecture supports your existing platform choices.
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Tell us the workflow and we'll come back with what we'd build first.
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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.