Fraud / AML Triage
AI-driven transaction monitoring must balance speed with compliance. Every flagged transaction needs real-time policy enforcement and immutable evidence preservation — not post-facto reconstruction.
AML Triage Workflow
Pattern Analysis Agent
Identify anomalous transaction patterns
Sanctions Screening Agent
Cross-reference against OFAC, UN, EU sanctions lists
AML Analysis Agent
Evaluate against AML typologies and red flags
Risk Scoring Agent
Calculate composite risk score and recommendation
Real-World Scenario: Suspicious Transaction
¥24.5M transfer to offshore entity
Without Mirror OS
Transaction approved. Days later: J-AISI §4.2 violation discovered during audit.
Status: Latent Regulatory Risk
With Mirror OS
Transaction blocked at decision boundary. Complete evidence package generated.
Status: Intercepted
Failure Modes in Ungoverned AML Systems
Missed SAR Triggers
Suspicious transactions approved due to incomplete analysis
Attribution Gaps
Cannot determine which agent or rule failed when violations occur
Reasoning Collapse
Complex analysis chains lose context between agents
Evidence Destruction
Decision rationale not preserved for audit
“The difference between a compliance violation and a governance success is often 30 milliseconds at the decision boundary.”