How do we stay in control as AI scales?

• Who convenes AI governanceAn existing risk function versus a new council

• Risk tiersWhich uses need human oversight under the EU AI Act and your own policy

• Central approval or guardrails by defaultOversight versus speed
• Accountability for agentsWho answers for what an agent does

• Build controls into the platform or buy a governance platformIntegration effort versus another tool to adopt

• Governance added after the first incident

• One review board for every use case

• Unknown agents with broad data access

• A governance platform nobody uses while agents run in production

The starting level. Nothing precedes it.

Nothing in another pillar. It builds on the level before it.

• Platform controls need a team that defines and runs them.Organization, Skills & Operating Model at Establishing

• Audit-readiness depends on lineage and ownership in the data.AI-Ready Data Estate at Scaling

Only the next level in this pillar.

• Data products need clear ownership rules.AI-Ready Data Estate at Scaling
• Definitions need a forum that can sign them off.Enterprise Context Layer at Scaling

• A fast, unified estate needs controls built into the platform.AI-Ready Data Estate at Compounding
• Agents in production must be inventoried and controlled.AI in the Process at Scaling

Top of this pillar. Nothing else depends on it.