ai-decision-authority

Topics in the source

• AI Decision Authority
• Overview
• Workflow
• Zone 1: AI-Primary
• Zone 2: Collaborative
• Zone 3: Human-Primary
• Govern at the boundary, not the workflow
• Output format

Decide which AI outputs a human must approve, and which an agent can own outright. Most AI governance in marketing fails in one of two directions. Review everything, and adoption collapses because using the tool is slower than doing the work by hand. Review nothing, and compliance exceptions accumulate quietly until one does not stay quiet, at which point legal arrives and you get the first failure anyway. Both failures come from applying one rule to every decision. Generating forty subject lines for a test is not the same decision as approving a regulatory disclosure. This skill sorts them by stakes rather than by seniority, so governance sits where the consequences are. Use it for a single decision, or to audit thirty workflows at once. Ask three questions in this order. Order matters, because reversibility dominates. 1. Can it be corrected if it is wrong? If this output is wrong, can it be quietly fixed, or has the damage already left the building? A content variant can be swapped in an hour. A regulatory filing cannot. 2. Who sees it, and what follows? Internal only, or does it cross a legal, executive, or external boundary? Exposure is what pulls a decision up out of Zone 1. 3

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