Use this when
AI is entering a workflow and leaders need consistent autonomy, escalation, and sign-off boundaries.
Advanced practitioner depth
Layer 01 · Ownership · Identity & Incentives
Executive summary
Classify every AI-involved decision by tier before autonomy, escalation, or sign-off rules are set. This advanced practitioner guide places that work inside Identity & Incentives. 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 AI is entering a workflow and leaders need consistent autonomy, escalation, and sign-off boundaries. The practical result is a classified decision inventory with a human authority rule for each decision type. Keep that output connected to adjacent layers so upstream constraints remain visible and downstream execution can show whether the design is working.
Use this when
AI is entering a workflow and leaders need consistent autonomy, escalation, and sign-off boundaries.
Practical output
Leave with a classified decision inventory with a human authority rule for each decision type.
Detailed model
Use the practitioner material below after the executive orientation establishes the job, trigger, and expected output.
Decision Tiers
The Decision Classification Register is a living artifact maintained by accountable humans and reviewed quarterly.
Tier 1
Low-stakes, high-volume, high-confidence workflows where AI owns execution and a human owns the system.
Tier 2
Moderate-stakes decisions where AI does analytical work but humans synthesize context and make the call.
Tier 3
High-stakes or externally-facing work where AI accelerates drafting but a human deliberately signs the output.
Tier 4
Highest-stakes, strategic, irreversible, or ethically sensitive decisions where AI may inform but never primarily drive.
Register Examples
Choose the next path
The layer overview restores context. The recommended action turns this practitioner model into the next piece of work.