AI Leadership

Most leaders think they haven't decided whether their company uses AI yet. They have. Their people decided weeks ago, quietly, and the only real question left is whether leadership governs it or keeps pretending it isn't happening. This piece lays out CLOSED, a six-question model for leading AI on purpose instead of letting it spread by accident. If you want a tighter one-liner for a feed or a different angle, here are two more: Your people already made your AI policy. You just haven't written it down yet. CLOSED is the six-question model for catching up before the gap widens. Banning AI and ignoring it are the same mistake. Here's a calmer, clearer way to lead it, built around six questions every leader should be able to answer.

Most companies rush to deploy AI without truly understanding their internal processes. Learn the 3 leadership shifts you must make to ensure AI delivers real outcomes — starting with Process Intelligence, KPI discipline, and visibility.

What Nick Saban's legendary "Process" can teach business leaders about rolling out Microsoft Copilot and why discipline beats speed every time.

This article highlights an uncomfortable reality for executives: corporate AI initiatives are failing at exceptionally high rates, often without ever sustaining production or creating measurable business value. It cites data showing 80-85% of AI efforts fall short-about double the failure rate of traditional IT projects-and notes a sharp rise in abandonment from 17% in 2024 to 42% in 2025. The takeaway is that the trend is worsening, signaling that enthusiasm alone is not enough.

If you're thinking about your Copilot strategy or stuck in the middle of a rollout, send me a message. Let’s get your organization aligned, secure, and built for the future.