Hong Kong Island · Applied AI
AI fraud detection in Central
For Central operators who want a working pilot in weeks, not a year-long programme.
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 Central 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 Central businesses choose this
Central is Hong Kong's financial core, home to the regional headquarters of most major global banks – AI here has to meet a market built on precision, compliance and speed of execution.
Where Central operators actually lose hours.
Hong Kong's stock exchange, the regional HQs of the world's biggest banks, and a dense wealth management and private banking sector all sit within a few blocks. Businesses here expect AI that's compliant-by-default and genuinely production-ready, not a pilot.
We work with teams across Central: Admiralty · Sheung Wan · IFC · Mid-Levels · Wan Chai.
How we build AI fraud detection for a Central team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Central 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 Central teams
If we build the right slice first, Central teams feel the difference inside the first month. 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 Central – common questions
How long does AI fraud detection take to ship for Central businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Central 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.
How do you price AI fraud detection engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Central businesses are surprised how small the first cheque is.
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.
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.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.