AI-Powered Compliance & Risk Monitoring System

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Coordinates all compliance agents in parallel and sequential phases, aggregates findings into unified risk scores, manages workflow state and agent status, calculates final risk category (low/medium/high/critical), generates decision recommendations (auto-approved/flagged/blocked), and maintains complete audit trail. Performance requires validation on representative workloads.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Loads and screens against OFAC SDN list (18,247 entries), EU Consolidated Sanctions (9,834 entries), and UN Security Council list (2,156 entries). Applies Jaro-Winkler fuzzy matching algorithm for alias detection, screens beneficiary, originator, and bank identifiers, and verifies against sanctions nexus indicators. Performance requires validation on representative workloads.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Screens against 2.4M PEP database records, analyzes corporate structures for PEP connections, runs adverse media scans across 47 news providers, performs sentiment and relevance analysis, cross-references with global watchlists, and maps relationship networks. Performance requires validation on representative workloads.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Loads transaction history for baseline calculation, applies logistic regression risk models, evaluates jurisdiction risk using FATF ratings, analyzes amount deviation from historical patterns, checks velocity patterns and timing anomalies, and generates composite risk scores with factor-level breakdown. Performance requires validation on representative workloads.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Analyzes 90-day transaction history, builds transaction graphs for network analysis, applies Isolation Forest for anomaly detection, identifies structuring patterns (amounts just below $10K threshold), detects velocity spikes and threshold creeping, scans for round-robin and layering patterns. Matches patterns against historical confirmed fraud cases with similarity scoring. Performance requires validation on representative workloads.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Retrieves and validates entity profiles, verifies business registration and incorporation documents, analyzes beneficial ownership chains (>25% threshold), performs Ultimate Beneficial Owner (UBO) analysis through trust and holding structures, checks KYC expiry status and document validity, validates address verification. Flags new counterparties and incomplete verification for enhanced due diligence. Performance requires validation on representative workloads.