What makes an enterprise intelligent?
A decision-loop view of AI value. Explore why model capability, organizational knowledge, and coordinated action need to be evaluated together, and how to identify the constraint that actually limits an outcome.
Conversations / Speaking & advisory
The deeper questions behind enterprise AI.
Topics for leadership discussions, speaking, and advisory inquiries. Each connects a theoretical question to a consequential organizational choice.
01Questions worth pursuing
Enterprise AI strategy
Organizational intelligence
Design, authority, and action
The enterprise as a revisable model
How organizations represent what they know, preserve uncertainty across handoffs, and correct shared assumptions. Connect partial observability to the practical work of maintaining institutional knowledge.
Autonomy, authority, and the possibility of correction
A control-oriented view of delegated action. Explore the difference between confidence and permission, the timing of intervention, and the cases where feedback cannot make an action acceptable.
Design leadership for organizational learning
The design responsibilities around an AI-enabled decision: making goals explicit, coordinating competing interpretations, and ensuring that what happens changes what the organization does next.
Which assumption deserves a harder look?
Tell me about your audience, the organizational question, and the format you have in mind. Engagements are considered individually.
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