Essays / Enterprise intelligence
Theory, made
answerable to practice.
A developing body of thought on AI and organizations. The theoretical essays make explicit claims; the operating notes bring them closer to the decisions teams face.
01 / Working theory
The unit of intelligence is the decision loop
A model can become more capable while an organization remains unable to decide. A useful theory of enterprise AI has to explain that gap.
Organizational intelligence · 5 min readAn enterprise needs a revisable model of its world
Useful context must preserve the difference between what was observed, what is believed, what is required, and what is permitted.
Representation & uncertainty · 5 min readAutonomy needs a theory of correction
Delegation should account for what can be observed, how quickly someone can intervene, and which consequences cannot be undone.
Control & decision rights · 5 min read02Operating notes
From ideas
to decisions.
Practical questions about authority, context, and value across the enterprise workflow.
When should an AI system’s authority expire?
A practical way to keep permission aligned with the business conditions that justified it.
Decision rights · 4 min readKeeping context intact when AI hands work off
Institutional knowledge needs ownership, scope, and a way to survive the transition from one decision to the next.
Institutional knowledge · 4 min readMeasure AI value through the whole workflow
A stronger business case follows effort, waiting, quality, and recovery all the way to an accepted outcome.
Operational value · 4 min readPersonal perspectives and proposed practices, not accounts of confidential employer work.
An open question
What would make your organization more intelligent?
For a rigorous conversation about AI strategy, organizational decisions, or the assumptions behind this work, get in touch.