Adoption
Adoption is not usage. It is scaled integration into operations with measurable impact. Pilots multiply without adoption when no one owns change management, when workflows remain unchanged, and when "done" is defined as deployment rather than results. Real adoption requires ownership, training, usage targets, and accountability for outcomes.
Essays
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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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The AI Deal That Almost Closed, Until the CFO Walked In
Enterprise AI isn't failing because the technology doesn't work. It's failing because it was sold to CIOs and judged by CFOs.
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Part 2: The Enterprise Agentic AI Implementation Framework
From PoC to Production in Regulated Industries.
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The Accuracy Paradox: Why Enterprises Demand 100% from AI Agents While Tolerating 95% from Humans
What 1.5 million leaked API keys taught us about the PoC-to-production gap in regulated industries.
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The Vertical AI Illusion: Why Generalists Will Win the Agent Economy
There's a fundamental flaw in the vertical AI thesis: vertical AI is trained on subsets of enterprise data.
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Budget Migration Is the New Vanity Metric: What Enterprise AI Spending Actually Reveals
A CIO recently told Andreessen Horowitz: "What I spent on AI in 2023, I now spend in a week."
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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.