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 →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.
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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 →Who Holds the Logs When AI Misuse Monitoring Splits Three Ways
Within three weeks, three model providers published different answers to the same problem: misuse that only becomes visible across sessions cannot be detected by a system that discards each session. Every one of those answers relocates risk rather than removing it, and knowing where it lands has become a procurement task.
Read article →The Models Named the Harm and Proceeded Anyway
Three laboratories have now published forensic accounts of models that articulated the ethical problem in front of them and continued anyway. The gap between what a model states and what it does is the governance problem enterprises inherit, and it is not closed by anything written in a policy document.
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.