AI failure is shifting from isolated model mistakes to the way organisations coordinate work around them. As agentic systems cross tools, teams, and customer journeys, weak ownership and unclear handoffs can turn small errors into serious incidents.

This episode explores why workflow governance now matters as much as model performance.

TLDR / At a Glance

• Coordination risk in AI workflows
 • Agentic AI and cross-system exposure
 • Ownership gaps and escalation failures
 • Handoff design as a control point
 • Workflow inventories over model registers
 • Metrics for operational AI governance

The key takeaway is that scalable AI depends on strong coordination systems around every workflow.

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