A practical framework to assess, benchmark, and strengthen your financial crime operating model
Financial crime risk in insurance is becoming increasingly complex with rising regulatory expectations, growing operational challenges exposing the limitations of traditional compliance models and increasing pressure on insurers to improve effectiveness, efficiency, and scalability.
This practical toolkit helps insurance leaders assess their current state, benchmark against leading practices, and identify clear next steps toward a more effective, scalable, and intelligence-led approach to financial crime prevention. The toolkit focuses on the capabilities required to support Always-on Compliance and explores how AI and agentic AI can help accelerate transformation.
What you’ll learn
Case study: 90% reduction in manual effort: The power of AI agents in sanctions compliance
White paper: Navigating the Delayed FinCEN Investment Adviser AML Rule
Webinar: Building a future-proof FinCrime operating model for insurance
White paper: Agentic AI & embedded risk intelligence – leader’s guide
Webinar: Re-engineering the risk-based approach: Agentic AI as the engine of continuous risk assessment & control calibration
White paper: Re-engineering the Risk-Based Approach with agentic AI
Blog: Agentic AI, Data, & Financial Crime Control
Blog: Compliance myth-busters: Insurance edition. AML insurance – still low risk?