case study
Explainable fraud signals for a digital bank
Real-time, explainable fraud scoring that flags risky transactions and shows analysts exactly why · so every decision can be justified.
This is an illustrative example · a representative scenario of the kind of work we do, not a named real client. Figures are directional, not guarantees.
-40%
Illustrative false positives
Real-time
Transaction scoring
Audit-ready
Every decision explained
The challenge
The existing rules engine produced too many false positives and could not explain its decisions, creating both customer friction and compliance risk.
What we did
- Built explainable AI models that surface the reasons behind each score
- Kept a human analyst in the loop for borderline cases
- Integrated with the core banking system in real time
- Delivered full audit trails for regulators