agent-handoff-governance

Context preservation during AI agent handoffs is maintained by explicitly defining the expert owner, acceptance criteria, and task problem details before delegating. This ensures minimal context is lost and the original agent can later integrate the returned solution.

Governing task delegation between sub-agents requires assigning explicit ownership and defining acceptance criteria before the handover occurs. This approach prevents premature closures and ensures accountability throughout the workflow management process.

You record agent handovers in Linear and Notion by logging the delegation event with its context and acceptance criteria. This creates an auditable trail for progress tracking and prevents premature task closures.

Sub-agent tasks lose ownership and context when blocked if the handover lacks a formal governance process. Explicitly assigning an expert owner and documenting the expected outcome ensures accountability and traceability until the task returns.

You should use a formal handoff process for specialized agent tasks when an agent encounters a complex blockage it cannot resolve. This formally delegates the issue to a specialized sub-agent while maintaining traceability.

Yes, agent handoff governance prevents premature task closures by enforcing acceptance criteria and explicit ownership. It audits delegations and maintains task state traceability until the original requester successfully integrates the solution.