AI Output Governance Playbook
AI in post-sale does not break down because the model is imperfect. It breaks down when the governance layer is missing. Teams deploy AI to improve productivity, scale decision-making, and support customer outcomes, but without clear review standards, override authority, and logging protocols, AI creates hidden operational risk instead of leverage.
The AI Output Governance Playbook is a practical guide for post-sale leaders who need to know:
which AI outputs require human review
what good review actually looks like
who has authority to accept, modify, or override outputs
how override decisions should be logged
how governance data can be used to improve AI performance over time