Operating Model
An operating model is not a strategy document. It is the concrete specification of how work happens: who does what, who decides, what the handoffs are, what the controls check. For enterprise AI to deliver value, this specification must change. Tools promise capability, but without redesigning roles, workflows, decision rights, and controls, the capability remains potential.
Essays
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The Frontier Is Jagged. Your Workflow Needn't Be.
A harness cannot erase the jagged frontier, but it can ground agents in fresh context, restrict their tools, and give people ownership of the exceptions.
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The Most Dangerous AI Is the One That Does Exactly What We Asked
Decision AI begins where the copilot metaphor breaks: when nobody is left to catch the model pleasing us.
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Done, Keys, and a Second Check
Copying the consumer 'agents want' form factor into the enterprise without ownership of done, keys, escalate or monitor rights, and a second check is not an operating model.
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From 100 Agents to Two Heroes
Broad agent experimentation is a phase. Without owners of big bets, change management, and adoption OKRs, you scale demos.
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What Karpathy Didn't Say About Your Enterprise AI Strategy - Part 1: The Diagnostic
Your enterprise AI rollout is probably sequenced wrong. Not because of the models. Because of the operating model.
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Your Data Is Not Your Moat. Your Learning Loop Is.
I've seen the same slides recycled for two years now. The CTO labels it Our Data Advantage.
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Tools Are Not the Operating Model
Enterprises invest heavily in AI tools but see little transformation. The gap is not technological. It is structural. Without changes to roles, workflows, and decision rights, even the most powerful tools remain peripheral.