orchestrator-user-gates

User approval checkpoints in a multi-agent AI workflow are enforced by gating orchestration phases to require explicit human input before subtask dispatch. This prevents premature execution and ensures governance over complex delivery pipelines.

User-input gates in AI agent orchestration are mandatory pause points that require human review or approval before proceeding. They validate plans, boundary decisions, task completion, and retrospective outcomes during complex delivery phases.

Premature subtask dispatch in multi-agent pipelines is prevented by applying lifecycle safeguards like classification-based routing and loop limits. These checks maintain state consistency and ensure governance across tasks.

Yes, workflow governance integrates with AskUserQuestion to present decision menus at checkpoints. This records approvals, revisions, and notes, creating an audit trail for boundary decisions and retrospective outcomes.

Human-in-the-loop gating for AI agent delivery phases is needed at phases P1, P2, P4, and P5. These checkpoints validate plans, boundary decisions, task completion, and retrospective outcomes to maintain governance.

Lifecycle safeguards for governance across multi-agent tasks include classification-based routing, loop limits, and state consistency checks. These mechanisms prevent uncontrolled execution and ensure explicit user input at critical checkpoints.