Governing AI:
From Model Risk to Strategic ControlBuilding effective governance frameworks for AI in financial services.
Balancing innovation, regulation and control
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Live from August 20th 2026:

As AI adoption accelerates, governance frameworks are struggling to keep pace. This webinar focuses on how financial institutions can move from fragmented controls to robust, enterprise-wide AI governance that satisfies regulators, while enabling innovation.

Attendees will take away:

  • A clear view of what ‘good’ AI governance looks like in practice
  • How to align model risk, data governance, and regulatory expectations
  • Strategies to close the gap between AI innovation and control frameworks

Agenda

Why AI governance is becoming a core regulatory priority

The growing need for model explainability, transparency and accountability

Managing the gap between rapid AI adoption and slower governance frameworks

Data challenges: data quality, lineage and integration across systems

Balancing the risk of adopting AI vs the risk of falling behind

Webinar Speakers

Samir Abrol
Chief Model Risk Officer and Head of Data Governance
Santander US

Sabeena Ahmed-Lictone
Head of Legal and Chief Compliance Officer
ICBC Standard Securities

Ratul Ahmed
Managing Director, Group Head of Model Risk Management and Validation 
CommerzBank AG

Deniz Tudor
Former Controls Director 
Chatham Financial

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Learn about the
rapid transformation of
AI/ML and technology
into financial services

Understanding how future
technology will strengthen
risk management

Insights from Europe and
USA on how AI/ML and
Technology is transforming
the landscape

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