Our current team members are using AI tools to finish their weekly tasks in half the time, but instead of taking on more work, they are coasting, and our department heads are still asking for new hires to support volume growth. How do we redefine individual performance baselines on our Scorecard to capture this new AI-driven capacity before we authorize any new headcount?

Question

Tyler Smith · Accepted Answer

When team members use AI to finish their work faster but do not take on more volume, you have a capacity accountability issue, not a technology issue. To fix this, you must adjust the measurables on your weekly Scorecard to reflect the new speed of execution. Start by evaluating each seat on your Accountability Chart. If an automated tool reduces the time it takes to draft a proposal from four hours to fifteen minutes, the measurable for that seat cannot remain at three proposals per week. You must increase the target to match the new capacity limit of the seat. Next, use the GWC framework to evaluate the people in those seats. Ask yourself if they truly want to scale their output or if they are content doing the bare minimum. A team member who resists taking on more volume when the tools make it easier does not show a high level of Capacity to do the job in your new operating model. Finally, set a clear boundary. Do not approve any new headcount requests from department heads until their existing team members are operating at one hundred percent of their AI-enhanced capacity. Bring this issue to your next Level 10 Meeting and use the IDS process to challenge the legacy assumptions of your leadership team.