Broad or unbounded goals cannot be delegated directly to an AI agent. To delegate effectively, a manager must break high-level objectives into bounded tasks that possess explicit definitions of done. Furthermore, decomposition separates tasks requiring human judgment—such as budget trade-offs, organizational negotiations, and personnel decisions—from well-specified tasks suitable for an agent, including extracting, summarizing, comparing, or drafting.

Decomposing Work for AI Agent Delegation

A practical test to determine whether a task is ready to be delegated to an AI agent is verifying whether a reviewer can clearly state what specific check would be conducted to confirm the task is finished. If no clear verification check can be articulated, the task is not sufficiently defined for delegation. Delegating unbounded goals leads to fluent, lengthy, and unfocused outputs that obscure critical decisions within the agent's implicit assumptions.

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