On Demand Webinar: How to Govern AI Without Slowing Down Innovation

Enterprise AI adoption is accelerating, but governance is struggling to keep pace.

Across every organisation, employees are experimenting with AI tools long before formal policies, controls and oversight have been established. This rise of Shadow AI is introducing new security, compliance and operational risks that traditional governance models were never designed to manage.

In this on-demand webinar, experts from Org and Airia explore why AI governance needs to move beyond static policies and become an operational capability that enables innovation rather than restricting it. Drawing on the latest regulatory developments, real-world AI failures and practical implementation frameworks, the session provides organisations with a roadmap for governing AI while continuing to innovate.

What you'll learn

• Why Shadow AI is becoming one of the biggest enterprise AI risks and how to identify it across your organisation
• The latest AI governance requirements emerging from the EU AI Act, South Korea's AI Basic Act and Singapore's Model Governance Framework
• Why AI governance requires a fundamentally different approach from traditional IT and data governance
• A practical four-step framework to discover, govern, implement and scale AI responsibly
• How to build executive buy-in by connecting governance with business value rather than compliance alone
• The technical controls, operating models and organisational practices that allow AI innovation to scale safely

• Jack Graham – Commercial Director – South East Asia, Org
• Tarun Samtani - Senior Director, Org
• Mckenzie Mathieson - Regional Sales Manager - Asia, Airia
• Nithish Rajan - Solutions Engineer, Airia