AI agents are moving beyond content generation into enterprise action. As they enter workflows, approvals, systems, and decisions, ownership becomes a strategic governance issue.

This episode explores how leaders should define accountability before agent autonomy scales.

TLDR / At a Glance

• Agentic AI as workflow actor
• Limits of traditional ownership models
• Four ownership layers
• Decision rights and autonomy boundaries
• Governance through distributed accountability
• Value, risk, and intervention rights

The key takeaway is that agentic AI can only scale responsibly when organisations clearly assign ownership for the system, workflow, risk, value, and authority to intervene.

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