Re-engineering the Risk-based Approach in AML compliance

Re-engineering the risk-based approach: Agentic AI as the engine of continuous risk assessment & control calibration

The Risk-Based Approach (RBA) is mandated, but rarely dynamic. 

The industry has implemented RBA as a governance framework — not as an operational capability. The threat environment has fundamentally changed, and financial crime risk is now continuous, global, and evolving at speed. Criminal innovation now moves faster than compliance control cycles. The challenge is no longer access to data, rather it’s interpreting risk intelligence fast enough to keep controls aligned.

Regulators are no longer asking whether you have an RBA framework. They’re asking whether you can continuously demonstrate risk alignment.

Enter Agentic AI. This powerful technology can continuously monitor a myriad of sources of rich risk intelligence enabling automated risk alignment, control calibration, typology identification and classification, customer risk profiling, operations prioritization, and more.

Speaker

Elizabeth Callan – AML, FinCrime, Sanctions SME, SymphonyAI

This session covers how agentic AI can:

• Automate risk intelligence monitoring
• Accelerate and enhance the risk assessment process
• Dynamically align risk intelligence and assessment to control calibration

This is continuous threat monitoring. This is the reengineered risk-based approach. This is SymphonyAI’s “Always-on Compliance.”

Access the webinar on demand.

Related resources

Re-engineering the Risk Based Approach with Agentic AI – Elizabeth Callan’s complete whitepaper on the topic

Whitepaper: The New Financial Crime Ecosystem

Going beyond continuous compliance with Always-on Compliance

Modernizing Compliance without Disrupting the Business: The Always-on Compliance approach

FinCrime Frontier Report – 2025/26

Symphony Risk Intelligence