AI Governance & Enterprise Readiness for the C-Suite

Introduction

Artificial intelligence is creating opportunities across every sector, but it is also introducing new legal, regulatory and governance risks that boards can no longer afford to overlook. Regulators, investors and claimants increasingly expect organisations to demonstrate robust AI governance, while the legal framework continues to evolve at pace. The EU's Digital Omnibus has revised the AI Act's compliance timetable, with the high-risk regime now applying from December 2027, but transparency obligations for chatbots, AI-generated content and deepfakes taking effect from 2 August 2026. At the same time, the UK's Data (Use and Access) Act 2025 has reshaped the rules on automated decision-making, while cases such as Getty Images v Stability AI, Moffatt v Air Canada and Mobley v Workday are testing the boundaries of liability, intellectual property and discrimination in the age of AI.

For senior leaders, the risks extend beyond corporate compliance. Regulatory investigations, litigation, reputational damage and personal accountability are becoming board-level concerns, with increasing scrutiny over who approved AI systems, how they are governed and whether appropriate safeguards are in place. Organisations also face a growing challenge in identifying and managing AI tools that employees have adopted without formal approval.

This webinar equips executives with a clear understanding of the UK and EU AI regulatory landscape, a straightforward framework for assessing organisational AI readiness and the critical questions every leadership team should be asking about AI use across the business. You will gain practical guidance and an actionable roadmap you can implement immediately to strengthen governance, reduce legal risk and support responsible AI adoption.

What You Will Learn

The webinar will cover the following:

• The evolving AI regulatory landscape - understanding the latest position under the EU AI Act following the Digital Omnibus, the obligations taking effect from 2 August 2026, the revised implementation timetable and how this compares with the UK's principles-based regulatory approach
• Data protection and automated decision-making - the impact of the UK's Data (Use and Access) Act 2025 on AI deployment, including lawful basis, automated decision-making, DPIAs and data protection by design
• Board accountability and AI governance - the responsibilities of directors and senior leaders, effective governance structures and the key questions boards should ask before approving AI initiatives
• Assessing organisational AI readiness - conducting practical AI governance reviews covering policies, risk management, procurement processes and due diligence on AI suppliers
• Managing shadow AI in the workplace - identifying and governing unauthorised AI tools already being used by employees while encouraging safe and responsible adoption
• Mitigating legal and commercial risks - managing intellectual property, confidentiality, employment and liability issues, with lessons from recent AI-related litigation and regulatory developments
• Lessons from real-world AI governance - examining examples of successful and unsuccessful AI implementation to identify practical strategies and common pitfalls
• Developing an executive action plan - practical steps senior leaders can implement immediately to strengthen AI governance, improve compliance and support responsible AI adoption