Transaction monitoring systems generate thousands of daily alerts, overwhelming analysts with low-signal noise. This post-detection orchestration problem creates fatigue, delays high-risk investigations, and inflates compliance costs. A custom multi-agent workflow solves this by ingesting raw alerts, enriching them with customer context and external intelligence, and applying a dynamic risk-scoring model. The orchestrator evaluates factors like customer risk tier, alert severity, linked entity networks, and investigator specialization to assign a priority score and determine the optimal routing path, whether to automated dismissal, a specialist queue, or immediate escalation.




