AI Agents in Sanctions Compliance Case Study

This case study outlines the implementation of Sensa Agents by a major US financial institution to enhance sanctions compliance operations. The institution faced challenges due to high transaction volumes, leading to increased false-positive rates in their screening system. Investigators spent excessive time on manual reviews of sanctions hits, which included detailed checks and media article evaluations. The Sensa Agents were introduced as a solution to automate these processes, significantly reducing manual effort and false positives. The proof of concept (PoC) demonstrated a 99% reduction in false positives and a 90% decrease in manual review time. Additionally, the agents achieved over 98% agreement in adjudication decisions, showcasing their accuracy. The successful PoC has led to plans for deploying Sensa Agents in live systems, with expectations for further enhancements and expanded use cases across compliance workflows. The case study emphasizes the transformative potential of AI in streamlining compliance operations.