Make Defensible Decisions in the Age of AI
Most books about AI focus on tools, prompts, or productivity.
Cognitive Multiplication presents a defensible way to think when information is abundant, uncertainty is persistent, and the cost of a bad decision is real.
It is a practical blueprint for designing AI-augmented judgment systems that strengthen—not replace—human authority. It shows how to integrate AI into the full decision loop while keeping responsibility, accountability, and final arbitration where they belong: with the operator.
A Doctrine for Leaders Who Must Decide — and Own the Consequences.
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CHAPTER PREVIEW
What Cognitive Multiplication Is—and Is Not
Cognitive multiplication is not automation evangelism.
It is not a productivity framework.
It is not a management methodology.
It is a doctrine of judgment preservation under scale.
At its core, cognitive multiplication is the disciplined use of systems to reduce noise, accelerate execution, and expand perception—without transferring authority, responsibility, or moral ownership away from the human operator.
When done correctly, systems make judgment more potent.
When done incorrectly, systems make judgment invisible.
This distinction matters because power without authorship does not disappear. It accumulates. And accumulated power without clear judgment produces brittle systems, bureaucratic drift, and moral evasion disguised as efficiency.
ABOUT THE AUTHOR
Shawn A. Kohrman
Shawn A. Kohrman is an executive, entrepreneur, and systems architect with over 30 years of experience applying advanced technology to high-stakes decision environments. His work focuses on decision integrity, governance, and building judgment systems that remain reliable under pressure.
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