We are setting our annual Rocks and need to reconcile headcount planning. How do we objectively calculate the capacity of our team when AI tools are constantly shifting the baseline of how many hours a task requires?

Question

Tyler Smith · Accepted Answer

Determining headcount and capacity during your annual planning is incredibly difficult when technology is changing weekly. If your team is using AI to draft contracts, write code, or analyze reports, their capacity is no longer measured by traditional hourly metrics. To solve this, you must change how you use your weekly Scorecard and your Accountability Chart. First, prioritize use cases for AI that improve operational efficiency, freeing employees from low-value tasks so they can focus on higher-value strategic work. Do not guess how much time AI is saving. Instead, establish clear, measurable measurables on your weekly Scorecard that track output rather than hours logged. If an operations manager previously managed forty accounts, and AI now automates eighty percent of their reporting, their new capacity might be eighty accounts. Use your quarterly Rocks to test these capacity limits. Set a Rock for your leadership team to run small-scale experiments, pushing the boundaries of what a single seat can accomplish when fully augmented by AI. By measuring actual output on your Scorecard, you can make data-driven decisions about when to hire next. This prevents you from over-hiring and eroding your profit margins, ensuring your organization remains incredibly lean, highly productive, and highly valuable when you prepare for an exit.