Publications
Ideas tested against the work.
Public writing and conversations on accountable enterprise AI, decision architecture, and the operating conditions that make advanced systems useful.
Thomson Reuters Institute
AI as executive advisor: Why a single “answer machine” fails
A case for treating AI as structured advisory: a system designed to preserve disagreement, reveal the arguments leadership could otherwise underweight, and leave the judgment call with people.
Read the article
Podcast
Utilizing AI to supplement executive decision-making
A conversation on where AI can improve the quality of executive work—and why the boundary between assistance and accountability must remain explicit.
Listen to the conversation
The central argument
Verification is not consensus.
A decision-support system is useful when it makes the problem clearer—not when it collapses uncertainty into an authoritative-sounding answer. Independent challenge, visible evidence, and a named human owner make the difference.
That principle informs the architecture, governance, and operating design behind the work described across this site.
Book
AI Frontiers: Reckoning to New Dawn
A business leadership guide to the strategic intersection of artificial intelligence and corporate strategy—from governance to operationalizing agentic systems.