Follow structured learning paths designed to help leaders, managers and professionals understand AI governance, responsible adoption and the organisational changes created by artificial intelligence.

Role-based guidance. Practical resources. Progressive learning.


AI governance affects different roles in different ways. Each pathway brings together relevant briefings, guides, podcasts and practical resources, helping you focus on the subjects most useful to your responsibilities and organisation.

Understand the strategic, governance and accountability implications of artificial intelligence. This path focuses on oversight, organisational readiness, risk, investment decisions and the questions senior leaders should ask before approving AI initiatives.

Learn how to manage AI-enabled work, maintain operational control and support teams through technological change. This path covers Shadow AI, human oversight, employee adoption and the changing responsibilities of managers.

Explore the policies, standards, controls and evidence required to govern artificial intelligence responsibly. This path addresses risk management, assurance, regulatory expectations and organisational accountability.

Build a practical foundation for responsible AI adoption. This path covers readiness, use-case identification, unmanaged AI activity, controlled pilots and the organisational capabilities required for implementation.
These learning paths connect AI governance concepts with practical responsibilities and organisational decisions. New briefings, guides, podcasts and learning resources will be added as the AGP knowledge library develops.
AGP can help identify the knowledge, governance capabilities and practical training required for leadership teams, managers and employees.