A large retail and corporate bank struggled with its rules-based Transaction Monitoring System's failure to detect significant financial crime while generating excessive false positives, pressuring regulatory SLAs for investigatory burndown. SymphonyAI's Sensa platform, leveraging nearly two years of anonymized transaction data, dramatically increased true risk visibility through advanced AI detection of undetected Suspicious Activity Reports and slashed false positive burdens. This delivered superior risk identification, streamlined investigations, regulatory compliance relief, and operational efficiency—transforming their financial crime detection from reactive rules to proactive intelligence.

Join for free to read