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 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.
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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 →The Developer Premium: What Eighteen Months of AI Replacement Attempts Actually Cost
Enterprise leaders replaced developers with AI and called it transformation. The remediation bills, rehiring costs, and security incidents are calling it something else. A data-driven accounting of what AI-first workforce strategies actually cost—and a framework for doing it right.
Read article →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.
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.