The Wolfsberg Group, the global association of leading banks, has called on financial institutions to move beyond legacy, volume-driven approaches to suspicious activity monitoring. In its 2025 statements, the Group emphasizes outcome-focused compliance, urging innovation, advanced analytics, and explainability to strengthen defenses against financial crime while improving the quality of information provided to regulators. 

In our latest whitepaper, we explore the practical applications of agentic AI in financial crime compliance—showing how institutions can cut investigation time, improve decision quality, and build audit-ready processes that align with Wolfsberg’s call for innovation.

What you’ll get from this whitepaper:

• Where agentic AI actually fits—and where it doesn’t

• How to reduce investigation time and standardize documentation

• A 5-pillar evaluation framework (performance, governance, compliance, security, ROI)

• How to combine traditional + agentic AI for speed and depth

Chapter highlights:

• Agentic vs. Generative vs. Traditional AI: Clear roles, trade-offs, and when to use each

• Investigations, re-imagined: Data collection, case summarization, typology ID, SAR drafting, guidance

• Improving system accuracy: Threshold tuning, rule/model recommendations, drift detection, simulation

• Workflow optimization: Routing, step elimination, parallelization, escalation path tuning

• Governance & auditability: Explainability, logging, HITL, consistency & repeatability safeguards

• Security & deployment: Data privacy/residency, API vs. UI integration, on-prem/private/public cloud

• Buyer’s checklist: The questions to ask vendors—plus red flags to avoid