Latest Briefings
01
Why AI Governance Without Runtime Authority Is Incomplete.
The authority problem is the gap between knowing AI was used and proving a consequential AI agent execution was authorized before it ran.
02
Why Decision Governance Is the Missing Enterprise Category.
Decision Governance is the missing enterprise category because AI agents no longer only produce output. They propose consequential executions that require authority, traceability, escalation, and evidence before the downstream system is affected.
03
DAL-X Is Not a Dashboard, Policy Tracker, or Checklist.
DAL-X is not a visibility surface, policy repository, or readiness checklist. It is the control layer required when AI agent executions need authority, routing, evidence, and execution gating before consequence is created.
The Decision Governance Strategic Intelligence Series
A structured publication covering what Decision Governance actually requires, from first principles through the authority structures organizations need to govern consequential AI agent executions.
The Emergence of DAL-X
The series defines the governance gap. DAL-X is the application being built to close it.
What Is DAL-X? →The People and Institutions Behind the Work
About the Author
Kevin Moore
Kevin Moore is the founder of Jochanni Labs and the author of the Decision Governance Strategic Intelligence Series. His work focuses on the governance structures organizations need as AI moves into consequential decisions. He defines the discipline before the incidents force it.
About Kevin Moore →Publisher
Jochanni Labs
Jochanni Labs is the independent research and publishing institution behind DAL-X. It produces governance frameworks, applied research, and the Strategic Intelligence Series for leaders navigating AI-assisted decision environments.
Jochanni Labs →