Activity (Process)

Decomposing Work for AI Agent Delegation

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.

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Updated 2026-09-23

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Prep Sessions

AI Agent Oversight: Scoping, Output Interrogation, and Decision Control @ Honor

Ch.1 Task Delegation and Briefing - AI Agent Oversight: Scoping, Output Interrogation, and Decision Control @ Honor

Work Decomposition for Agent Delegation - AI Agent Oversight: Scoping, Output Interrogation, and Decision Control @ Honor

AI Agent Oversight: Task Delegation, Output Auditing, and Accountability @ Honor

Ch.1 Task Delegation and Scoping - AI Agent Oversight: Task Delegation, Output Auditing, and Accountability @ Honor

Work Decomposition and Delegability Testing - AI Agent Oversight: Task Delegation, Output Auditing, and Accountability @ Honor

Supervising AI Agents: Decision Rights, Verification, and Accountability @ Honor

Ch.1 AI Delegation Foundations - Supervising AI Agents: Decision Rights, Verification, and Accountability @ Honor

Task Decomposition and Bounded Delegation - Supervising AI Agents: Decision Rights, Verification, and Accountability @ Honor