Practical perspectives on AI adoption, strategy, and implementation for business leaders.
Boards do not need to manage models. They do need confidence that management knows where AI is used, who owns each outcome, which risks matter, and when a system should be stopped.
A polished demo is not due diligence. Use this operator-tested framework to determine whether an AI vendor can create measurable value without creating unmanaged risk.
Do not begin with an enterprise transformation. Begin with one costly workflow, one accountable owner, a measurable baseline, and a 90-day decision.
Access is not adoption, and adoption is not value. Give employees a small set of approved workflows, clear data rules, review standards, and a way to improve the system.
An AI strategy is not a list of tools. It is a set of choices about the business outcomes, workflows, capabilities, controls, and investments that deserve attention.
Whether you need a speaker, a workshop, or strategic AI advice — I’d like to hear what you’re working on.
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