Post fraud detection, every case requires human-led investigation—a highly manual and time-intensive process, typically taking 30 minutes to 2 hours per incident. At scale, large banks operate hundreds of investigators (~400+) to handle
the volumes. This solution leverages agentic AI to compress investigation time from hours to minutes, significantly reducing manual effort, improving throughput, and enabling teams to focus on high-value decisions.
The solution addresses following:
1. Fraud investigators must browse through data across multiple tables, across multiple systems to understand the fraud incident.
2. Conventional fraud systems rely on predefined predictive features, restricting their ability to deliver a holistic view of fraud incidents—thereby necessitating human intervention for deeper analysis.
3. Almost 80-85% of false positive cases detected by fraud detection systems result in wasted manual efforts.

Target Users - Fraud Investigation team of Bank/ Credit Unions/ Fintechs
Key Benefits -
1. Reduces manual investigation effort for false positive to minutes from hours
2. Helps to find friendly fraud patterns (customers trying to defraud the bank through false chargebacks etc)
3. Collates data from multiple enterprise systems
4. Generates automatic Suspicious Activity Report