Automated Regulatory Compliance Checker

Replace rules-based alerts with AI that understands context and intent to detect sophisticated money laundering. Our system analyzes transaction networks, customer behavior, and external risk data to flag true positives, reducing false alerts by over 70% and cutting manual review time. For example, a European bank reduced its alert backlog by 85% while improving detection of complex layering schemes.

Move from periodic, point-in-time checks to a continuous risk assessment model. AI automatically screens new customers against global sanctions lists, adverse media, and PEP databases. It continuously monitors for changes in risk profile, triggering re-verification only when necessary. This slashes onboarding time from days to minutes and ensures ongoing compliance without operational drag.

Automate the monitoring of trader and advisor communications (email, chat, voice) for market abuse and conduct risk. Our NLP models go beyond keyword matching to understand intent, sentiment, and collusion patterns across multiple languages. This provides auditable evidence trails and protects against insider trading and FX benchmark manipulation, as deployed by a top-tier investment bank to monitor over 2 million daily communications.

Eliminate the manual scramble to interpret new rules from the FCA, SEC, or MAS. AI continuously ingests regulatory publications, interprets requirements, and maps them to your internal controls and policies. It generates impact assessments and actionable task lists for compliance teams, ensuring nothing falls through the cracks. A global insurer used this to cut its regulatory implementation cycle by 60%.

Generate audit-ready reports for MiFID II, Dodd-Frank, or Basel III in hours, not weeks. AI aggregates data from disparate systems (trading, CRM, communications), ensures consistency, and produces narratives explaining anomalies. This creates a single source of truth for regulators, reducing exam preparation time by over 75% and mitigating the risk of multi-million dollar fines for reporting failures.

Shift from reactive to proactive risk management. AI models score customers, products, and transactions based on hundreds of dynamic risk factors—from geopolitical events to unusual payment patterns. This allows compliance officers to focus resources on the highest-risk areas, optimizing the cost of compliance while demonstrably improving risk outcomes for the board and regulators.