Case study
SignalLedger
AI fraud monitoring that catches risky payments in real time
A digital payments company
The story
From the problem to a system that works
- 01
What the client wanted
Spot fraudulent transactions as they happen and give analysts a fast way to review and act on them.
- 02
The challenge
Fraud was found days later in reconciliation. Analysts reviewed spreadsheets of transactions with no risk scoring, and chargebacks were rising every month.
- 03
What we built
We built SignalLedger, a fraud monitoring web app with AI risk scoring, live transaction activity, risk distribution, alerts for unusual patterns, and a review queue with an explanation for every flag.
Delivered
What SignalLedger includes
- AI risk scoring on every transaction
- Live transaction and alert monitoring
- Analyst review queue
- Explanations for each flagged payment
- Risk distribution reporting
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