Enterprise AI, from go-to-market to governance.
I've spent four decades building software, architecting enterprise cloud, and leading teams. As a Strategic AI Specialist at GitHub, I help organizations do far more than understand AI. I help them implement it, manage it, and govern it at enterprise scale.
Recent thinking
All articles →Your Model Registry Has No Contract
NVIDIA's purchase of Hugging Face will not close before 2027. The dependency it surfaces is already running in enterprise production, and almost no organization can produce an inventory of it.
Read the article →
Citizen Development and the New Frontier of Technical Debt
AI app builders have made software creation elastic, but the central services every application consumes—identity, security review, deployment, support, and decommissioning—still scale one application at a time. The debt accruing in that gap belongs on the CIO's balance sheet, and it can be managed without slowing the people who create it.
Read article →The Compute Price Nobody Could See
The first futures market for AI compute missed its October 5 launch after regulators questioned whether the underlying price can be trusted. Their answer describes the enterprise AI bill as well: a volatile input, priced privately, passed through by vendors whose token rates are strategic decisions.
Read article →What the EvilTokens Takedown Cannot Revoke
Microsoft and its partners seized the infrastructure behind EvilTokens, an AI-assisted phishing service linked to more than 12,000 compromised inboxes. The attack it sold, device code phishing, passes through passkeys, survives password resets, and remains available in many enterprise identity tenants until the customer closes 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.