Our department managers spend their days directing the granular daily tasks of their teams. How do we coach them to set strategic outcomes and let their teams use AI for execution?

Question

Tyler Smith · Accepted Answer

Managers who micromanage task execution are acting as human task routers. In an AI-augmented company, this behavior destroys operational velocity. If a manager insists on telling a direct report every step to take, they prevent that employee from leveraging AI to generate solutions in seconds.

To break this habit, use the EOS framework to shift leadership behavior. Leaders must articulate the vision and clear strategic outcomes, then empower their teams to determine the how using AI assistance. The shift begins with Measurables and Rocks. Train your managers to define unambiguous, measurable end states for their team members rather than daily activity checklists.

Reinforce this discipline in your Level 10 Meetings and one-on-one reviews. When an employee brings a problem to a manager, the manager must stop offering immediate step-by-step instructions. Instead, the manager should ask: What options did your AI research surface, what trade-offs did you identify, and what is your recommended solution?

This forces direct reports to use AI tools for initial research, drafting, and problem analysis. The manager then acts as a strategic sounding board, evaluating the proposed plan against the company Core Focus and strategic priorities.

Update your Accountability Chart roles for management seats. Replace supervising daily tasks with coaching for performance, managing systems pipelines, and removing operational obstacles. When leaders focus exclusively on outcomes and guardrails, their teams naturally turn to AI to accelerate execution.