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Course Description
This session will discuss the practical application of AI and machine learning in financial crime programs. We will explore model validation, compliance considerations, business use cases and share lessons from early adaptation.
Who This Is Designed For:
Designed for compliance, fraud, and model risk teams applying AI in alert handling and governance.
Agenda:
Key differences between rules-based and AI-enhanced models
Compliance guardrails and documentation requirements
Managing false positives and investigator fatigue with AI
Identifying the right use case
By the end of this webinar, you will know how to:
Integrate AI tools into your transaction monitoring workflows
Validate AI models and maintain audit trails for compliance
Make actionable decisions based on AI-generated alerts and model outputs
Course Description
This session will discuss the practical application of AI and machine learning in financial crime programs. We will explore model validation, compliance considerations, business use cases and share lessons from early adaptation.
Who This Is Designed For:
Designed for compliance, fraud, and model risk teams applying AI in alert handling and governance.
Agenda:
Key differences between rules-based and AI-enhanced models
Compliance guardrails and documentation requirements
Managing false positives and investigator fatigue with AI
Identifying the right use case
By the end of this webinar, you will know how to:
Integrate AI tools into your transaction monitoring workflows
Validate AI models and maintain audit trails for compliance
Make actionable decisions based on AI-generated alerts and model outputs