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 Multi-Model Mirage: Governance, Cost, and Accountability When Every Developer Picks Their Own AI
Enterprise AI coding environments now support a dozen model choices per developer. That flexibility is real. So is the governance vacuum it creates—and the cost exposure that accrues quietly under uncapped usage-based billing.
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Benchmark Theater: The Leaderboard Is a Press Release
Frontier AI models arrive roughly every two days, each announced with curated benchmark scores. For enterprise teams making procurement decisions, the noise has become the problem. A framework for what actually predicts model performance in production.
Read article →The Atrophy Risk: What Happens to Developers When AI Goes Dark
Controlled trials, outage data, and cognitive science converge on a warning most teams haven't heard yet: the developer who can't function without AI is a liability, not an asset.
Read article →Polaris Rising: What the Copilot Model Swap Actually Changes for Enterprise
Microsoft's Project Polaris replaces GPT-4 Turbo as GitHub Copilot's default engine in August. The shift touches architecture, IP liability, inference economics, and how much control enterprises actually have over the stack they thought they understood.
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.