George Firican

As organisations accelerate the adoption of Agentic AI, governance has become more than a compliance exercise—it is now the foundation for building AI systems that are trusted, scalable and capable of delivering real business value. But as AI moves from experimentation to enterprise-wide deployment, are today's governance models still fit for purpose? This panel brings together leading experts in data governance, AI governance, analytics and enterprise data strategy; to explore how organisations can build trust by design. From human oversight and data quality to semantics, context and organisational culture; the discussion will examine what it really takes to govern AI in complex enterprises. Attendees will gain practical insights into balancing innovation with accountability, enabling AI through governance rather than restricting it, and creating the conditions for trustworthy decision-making at scale. Key Takeaways: • Understand how governance must evolve to support Agentic AI, moving beyond compliance to become a strategic enabler of innovation. • Explore the role of trust, context and data quality in creating AI systems that are reliable, explainable and fit for enterprise use. • Learn practical approaches to scaling AI responsibly, balancing human expertise, governance and business value in complex organisations.