Use this when
an AI system will influence or execute decisions and human accountability must remain explicit.
Advanced practitioner depth
Layer 02 · Decisions · Decision Architecture
AI Decision Governance
Executive summary
Define where AI can act, where humans confirm, where humans lead, and where AI is excluded. This advanced practitioner guide places that work inside Decision Architecture. It helps leaders turn a broad concern into a specific operating decision without treating the topic as a stand-alone transformation. Use the detailed model below to clarify the current state, make trade-offs visible, and assign ownership for the next move. Apply it when an AI system will influence or execute decisions and human accountability must remain explicit. The practical result is an AI decision-governance rule defining allowed actions, approvals, exclusions, and override. Keep that output connected to adjacent layers so upstream constraints remain visible and downstream execution can show whether the design is working.
Practical output
Leave with an AI decision-governance rule defining allowed actions, approvals, exclusions, and override.
Detailed model
How to apply ai decision governance
Use the practitioner material below after the executive orientation establishes the job, trigger, and expected output.
AI Decision Governance
AI should act only where decision architecture permits it.
AI decision governance defines the boundaries between autonomous action, AI-assisted drafting, AI-informed human judgment, and decisions where AI is excluded.
AI Boundary
AI Can Act
Only inside low-risk, reversible, monitored corridors with clear thresholds and a human system owner.
AI Boundary
AI Can Draft
Useful when a human must approve, sign, send, or commit before the organization acts.
AI Boundary
AI Can Inform
Useful when stakes require human judgment but better information improves decision quality.
AI Boundary
AI Is Excluded
Required when decisions are irreversible, ethically sensitive, dignity-related, or politically consequential.
Agent Decision Rights
Agentic AI needs explicit authority before it touches execution.
Decision rights should define what an agent may inform, draft, recommend, act on, or escalate.
Agent Right
May inform
AI can summarize, compare, retrieve, and surface options, but the human owns judgment and commitment.
Agent Right
May draft
AI can prepare a decision brief, response, plan, or action, but a human approves before execution.
Agent Right
May recommend
AI can rank options or propose a path when evidence, assumptions, and confidence are visible.
Agent Right
May act
AI executes only in low-risk, reversible, monitored corridors with owner, audit trail, and rollback.
Agent Right
Must escalate
AI routes uncertainty, high consequence, low confidence, forbidden actions, or out-of-corridor cases to a human owner.
Choose the next path
Return to the layer or apply this topic to the operating model.
The layer overview restores context. The recommended action turns this practitioner model into the next piece of work.