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 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.
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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 →The Token Tax Thesis: Why Government Access to Frontier AI May Be About More Than Security
The Trump administration's restrictions on GPT-5.6 and Anthropic's models are being framed as cybersecurity measures. The fiscal math suggests something larger is developing in the background.
Read article →Scaling AI in the Enterprise: What the Evidence Says Works
The data on enterprise AI adoption has matured. Organizations now have clear empirical signals—from Stanford, McKinsey, Deloitte, and IBM—on what separates durable, at-scale deployment from stalled pilots. Here is what that evidence looks like in practice.
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.