Intelligence Hub
Analysis
Thought leadership on project controls and decision intelligence for capital projects. Where we argue how owners should frame decisions, govern evidence, and act on it.

AI & Decision Intelligence
AI Is Making Analysis Cheap. Decisions Are Still Expensive.
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AI & Decision Intelligence
Prediction AI in Project Controls: Why We Start With Structure, Not the Model
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The series
This series
This article is the foundation of a thirteen-part series. Each article takes one section and works it through in depth — the detailed questions, the method, and what it looks like on a live project. New articles publish twice a month and are linked here as they go live.
- Intelligence Is Becoming Abundant. Judgment Is Not.Why raw analytical horsepower is now cheap while sound judgment stays scarce — and what that inversion changes.
- AI Changed the Economics of Production — Not the Responsibility of DecisionAI collapsed the cost of producing analysis, but accountability for the decision still sits with people.
- In Capital Projects, Cheap Analysis Does Not Equal Good DecisionsA low price per analysis says nothing about whether the resulting capital decision is any good.
- The New Executive Advantage Is Not More Answers. It Is Better Framing.Leaders win less by having more answers and more by framing the right question in the first place.
- Q1–Q5: The Five Management Questions That Turn Analysis into Decision SupportThe five management questions that convert raw analysis into genuine decision support.
- D1–D5: Not All Evidence Has the Same JobThe five evidence roles, and why each piece of evidence has a distinct job to do.
- From Questions to Evidence to Decision: How the SD Engine ThinksHow the structured-decision engine moves from questions to evidence to an accountable decision.
- Why Technique Depth MattersWhy the depth of the underlying technique — not surface output — determines whether analysis can be trusted.
- What AI Should Actually Do in This SystemDefining the specific, bounded role AI should play inside a structured decision system.
- Lessons from the New AI Economy for Project Controls LeadersWhat project controls leaders should take from the economics of the new AI landscape.
- The Decision Standard for Consequential ProjectsThe standard a decision must meet before it is used to commit consequential capital.
- The Final Shift: From More Intelligence to Accountable DecisionMoving the goal from producing more intelligence to owning an accountable decision.
- xPM Point of View: Structure First. Integration Second. Intelligence Third. Accountability Always.The xPM position: structure first, integration second, intelligence third, accountability always.










