Delegating a Product Sprint

Delegating a Product Sprint to AI Managers

A two-week sprint is the right unit of work for handing off execution to an AI team. It is long enough for meaningful progress, short enough that a bad plan doesn't compound unchecked, and natural enough that your existing process (backlog, standup, retro) transfers without major rework. The human product owner stays in control of priorities and the final review. Everything between the sprint goal and the closed ticket is handled by the agents.

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The scenario

You have a backlog of tickets. You want to run a two-week sprint on the "Notifications Overhaul" project. You have three agents in the company: a CEO who handles planning, a CTO who manages engineering execution, and a QA Agent who reviews completed work before it reaches you.

┌──────────────────────────────────────────────────┐ │ Board (you) │ │ Sets goal · Approves plan · Reads sprint log │ └──────────────────┬───────────────────────────────┘ │ ┌───────▼────────┐ │ Aria (CEO) │ │ Sprint planning│ │ Task breakdown │ └───────┬────────┘ │ delegates ┌─────────▼──────────┐ │ Theo (CTO) │ │ Engineering │ │ execution │ └─────────┬──────────┘ │ review stage ┌─────────▼──────────┐ │ Quinn (QA Agent) │ │ Testing · review │ │ before mark-done │ └────────────────────┘

The CTO picks up and executes individual engineering tickets. The QA Agent reviews each one before it is marked complete. The CEO closes the loop by watching progress, unblocking stalls, and reporting status back when you ask.

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Why you still need a human in the loop

Agents are good at executing well-scoped work. They are not good at deciding what the sprint should be about. Three places where you still own the call: