Thoughts on AI product strategy, transformation leadership, operating models, and shipping outcomes.
What the role covers, how it differs from interim, advisor, and consultant, typical engagement shapes, and honest cost ranges.
Twelve questions a board or PE operating partner should ask, why each one matters, and what a controlled answer sounds like versus a reassuring one.
Agents cannot inherit tacit knowledge. Writing down how your best operator actually decides is the binding constraint on internal agent deployment.
Serious companies need ownership, permissions, policy, evidence, escalation, reversibility, and review before agents can touch real work.
Model upgrades can silently change production behavior. CPOs and CTOs need traceability, upgrade gates, workload evals, and tolerances before the next swap.
What changes when the product organization starts building with AI agents internally, not just shipping AI features externally.
Working through one of these in your own organization? Write to Kevin directly.