Enterprise AI, from go-to-market to governance.
I've spent four decades building software, architecting enterprise cloud, and leading teams. As Lead AI GTM Strategist at GitHub, I help organizations do far more than sell AI. I help them implement it, manage it, and govern it at enterprise scale.
Recent thinking
All articles →The Prototype Trap: Why Vibe Coding Platforms Have Limited Place in Enterprise Production Systems
Generative app platforms like Replit, Base44, Lovable, and Bolt.new—and spec-driven IDEs like AWS Kiro—can compress weeks of scaffolding into hours. They should not be allowed anywhere near a production codebase. Here is why—and what to do instead.
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The Reassignment Dividend: Why Displacing Workers Costs More Than Redeploying Them
Eighty percent of enterprises deploying AI have cut headcount. None of them got better returns for it. The data is in—and it argues for a fundamentally different strategy.
Read article →The AI Subsidy Economy Is Ending—and Microsoft Saw It Coming
Frontier AI companies are burning tens of billions of dollars a year at negative operating margins while investors mark up paper valuations. Microsoft's shift to usage-based billing is not a pricing change. It is a reckoning with physics.
Read article →The Token Is the Unit: A Financial Leader's Guide to Enterprise AI Economics
Token-based pricing has arrived across every major AI platform. Here is why it was inevitable, what it means for enterprise budgets, and how financial and technology leaders can build the governance frameworks to manage it.
Read article →Bringing AI into your enterprise and need it to actually land?
Advisory for leaders who need AI strategy, adoption, and governance to move as one.