0 to 1 and Beyond: Building AI Governance That Scales

AI governance cannot remain a policy exercise as companies adopt off-the-shelf tools, agentic SaaS, custom AI and hybrid models. This session shows privacy, legal and governance leaders how to move from fragmented oversight to a scalable operating model. Delegates will follow an illustrative AI use case through a governance pilot, testing its scope, data access, tool permissions, human review, delegated handoffs, monitoring and evidence. A practical maturity framework will help participants assess where their program stands, determine which capabilities to build next and focus on common failure points. The session draws on real-world enterprise lessons to connect regulatory readiness with responsible, workable AI adoption.

What you will learn:

• Benchmark your AI governance maturity and pinpoint the capabilities needed to scale across operating models.

• Identify common mistakes slow progress as companies respond to regulation, business pressure and more advanced AI use cases.

• Match governance depth to AI ambition, from visibility and consistency to safe autonomy and agent-assisted oversight.