Manual surveillance of trader communications is a high-cost, high-risk bottleneck. Teams spend thousands of hours reviewing chat logs and call transcripts for insider trading, market manipulation, or conduct violations, often missing subtle context. A custom automation workflow eliminates this repetitive work by applying LLM-based context understanding and pattern matching at scale. The operational upside comes from reducing false positives by over 70%, accelerating review cycles from days to minutes, and creating a defensible, searchable audit trail for regulatory exams, directly lowering compliance labor costs and litigation risk.




