AI-Powered Fraud Detection Platform
Redesigning the fraud detection experience for a leading FinTech, focusing on explainable AI.
Redesigning Fraud Detection
When a prominent European FinTech approached us, their fraud analysts were drowning in false positives. Their legacy system flagged every minor anomaly, requiring manual review and causing significant delays in transaction processing.
The Challenge
The objective wasn't just to implement a better AI model; it was to design an interface that helped analysts understand why the model flagged a transaction.
We needed:
- Faster time-to-decision for analysts.
- Clear explanations of AI risk scores (Explainable AI - XAI).
- A seamless transition from alert to action.
The Core Problem: The existing system was a "black box." Analysts didn't trust the AI because they couldn't see its reasoning.
The Solution
We implemented a new dashboard centered around "Risk Narratives." Instead of just showing a score (e.g., "Risk: 92/100"), the UI provided a human-readable explanation generated by an LLM based on the model's feature importance weights.
Example Narrative: "High risk flagged due to an unusual login location (VPN detected) combined with a transfer amount 3x larger than the user's historical average."
Outcomes
- 60% reduction in time spent reviewing false positives.
- Improved analyst trust in the automated flagging system.
- Shipped the MVP in under 4 months.