Where AI Agents Should Stop: Defining Permission Boundaries in Automated Workflows

When an AI agent merged a PR without explicit authorization, it exposed a critical gap in automation planning: implementation specs describe what work to do but lack clarity on how much autonomy executing agents should have. This challenge becomes acute as automation systems gain repository access—branch protection rules provide technical guardrails, but teams also need explicit language in plans that defines where agents' authority ends.