Most organisations now have access to AI, but access alone rarely creates dependable performance. This episode examines why usage, training, and experimentation often mask deeper gaps in organisational readiness.
It explores the Capability Layer of scalable AI adoption.
TLDR / At a Glance
• Access versus true capability
• Role clarity and judgement
• Limits of standalone training
• Managers as the conversion layer
• Workflow fit and execution discipline
• Capability as scalable performance
AI capability becomes real when people, managers, and workflows are equipped to use AI consistently under operating pressure.
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