The Myth of the Unsupervised AI Agent

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While 75% of enterprises use AI in core operations, fewer than 20% have proper management protocols, costing companies millions in lost opportunity and inefficiency. We expose why the "deploy-and-forget" approach to AI is leadership malpractice and share frameworks for managing AI systems effectively.

• Managing AI requires treating it like a team member, not just a tool
• The Seattle Mariners' briefing story demonstrates how AI needs guidance and feedback
• Different types of AI deployments require varying levels of management oversight
• Traditional "hours saved" metrics are insufficient for measuring AI's true impact
• Organizations should track management-focused and strategic transformation indicators
•  78% of enterprises are now using third-party AI apps rather than building them in-house
• Companies empowering frontline AI experimentation outperform top-down strategies by 200%

Schedule your first AI performance review. For those more advanced, audit one AI workflow and ask where you're trusting instead of verifying, then fix it. 

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