On-demand webinar

Unlocking More Value from Your Model Risk Management Program: Practical Strategies for Navigating PRA SS1/23 and the EU AI Act

Risk Modernization Webinar Series

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About the webinar

Model Risk Management is entering a new era — one defined by increasing regulatory scrutiny, emerging AI risks, and higher expectations for transparency and accountability. With the PRA's SS1/23 and the EU AI Act setting a new bar for governance and compliance, organizations must rethink how they manage, monitor, and validate their models.

In this session, we’ll explore how the latest enhancements to our Model Risk Management solution help you meet these evolving requirements head-on — while creating long-term value across your model lifecycle.

We'll share practical implementation strategies, real-world use cases, and actionable insights to help your team operationalize compliance, scale model governance, and get more out of your MRM investments

What you’ll learn

  • Demystify PRA SS1/23 and the EU AI Act - what they mean for model development, validation, and lifecycle oversight.
  • Learn how to operationalize compliance using new product features - from new OOTB Risk Rating Systems to include AI Models, to tracking and organizing model usage across your model inventory, well show you what is new and what is coming up next.
  • See how organizations like yours are transforming MRM into a strategic advantage - driving efficiency, resilience, and trust.

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About our expert

Kelly Potter

Kelly Potter 

Business Solutions Manager, Fraud and Security Intelligence, SAS

Kelly Potter is a Business Solutions Manager at SAS with over 20 years of experience helping financial institutions modernize their risk and compliance practices.

A long-time champion of model risk management (MRM), Kelly partners closely with banks, insurers, and regulators to shape practical solutions that align with evolving regulatory standards — including the PRA’s SS1/23 and the EU AI Act.

She is passionate about helping users operationalize model governance at scale while preparing for the future of AI risk oversight.

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