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ERP and workflow systems encode tasks but often leave judgment ownership implicit.
topic · Decision Design knowledge system
Decision Design for Enterprise AI
Enterprise AI requires judgment architecture wherever AI participates in finance, procurement, legal, cyber, manufacturing, service, or other consequential operations.
Why this topic matters
The enterprise risk is not simply inaccurate output. It is an AI-enabled action entering a workflow whose authority, exceptions, and accountability were never designed for machine participation.
Problem structure
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AI crosses functional boundaries faster than existing approval structures can adapt.
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Operational exceptions expose gaps between technical permissions and legitimate business authority.
Core concepts
Decision Design provides a cross-functional authority model that can be instantiated as domain-specific boundaries, escalation paths, and records.
Judgment Architecture
Judgment Architecture is the institutional arrangement through which judgment authority is allocated, exercised, transferred, recorded, and reviewed.
Decision Boundary
A Decision Boundary is an authority structure that specifies where delegated judgment ends and another legitimate authority must decide.
Decision Logs
Decision Logs are accountability infrastructure connecting judgment, authority, evidence, execution, and outcome across a decision lifecycle.
Featured analysis and guidance
When No One Decides, Yet Decisions Get Made
The missing judgment layer in enterprise AI governance.
What Robots Are Really Learning From Us
How physical AI turns human judgment into an operational design problem.
When AI Moves Closer to Judgment
A banking example of moving AI from assistance toward institutional judgment.