Control at Machine Speed

As organizations begin delegating decisions to agentic systems, control can no longer rely on oversight after the fact. In this episode, Mimi Brooks is joined by returning guest Mike Carroll—an expert in industrial innovation, applied AI, and system strategy—to explore what it means to maintain control when decisions happen at machine speed. Together, they unpack why traditional governance breaks down, how causality and decision-making logic shift how decisions are made and governed, and what leaders must rethink about architecture, accountability, and enterprise agency in an increasingly autonomous world. Timestamps: 00:00 – Introduction: Control at Machine Speed 03:34 – AI, Productivity, and Why Work Isn’t Decreasing 10:50 – Why Governance Breaks at Machine Speed 14:42 – Less Experience, More Data, Higher Decision Burden 23:14 – How Agentic AI Changes Decisions, Permission, and Control 33:00 – Causality and the Shift to Decision-Relevant Data 35:50 – Looking Beyond Symptoms to Understand Performance 40:01 – How Agentic AI Enables Enterprise Agency and Decision-Making 48:25 – When Decisions Still Require Human Judgment and Accountability 52:31 – Embedding Principles and Values into AI Decision Systems 55:55 – Rethinking Knowledge and Application in the Enterprise 58:38 – How AI Is Reshaping Organizational Structure and the Enterprise 01:03:46 – Enterprise Agency and Rethinking AI Strategy

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