As we automate more of our high-volume administrative tasks with AI, the seats on our Accountability Chart are starting to look very different. How do we redefine the GWC for our operations team when their primary daily tasks shift from execution to quality control?

Question

Tyler Smith · Accepted Answer

When you automate core processes, the responsibilities of your team members inevitably shift. If an AI agent is now executing seventy percent of the data entry, scheduling, or reporting, your team members are no longer producers. They are now quality controllers and strategic supervisors. You must update your Accountability Chart to reflect this reality.

Start by looking at the roles under your operations seats. If their daily work shifts from doing the task to verifying the AI's work, you must change their GWC™ parameters.

First, evaluate the Get It. Do they understand the logic of the automated system and how to spot errors, or are they blindly trusting the output? They must understand how the system is supposed to function.

Second, look at Want It. Do they want to act as an auditor and problem-solver, or do they miss the routine of manual execution? Some employees prefer repetitive tasks and will struggle in a role that requires continuous critical thinking.

Third, assess Capacity. Do they have the analytical skills required to spot subtle errors in the automated outputs and optimize the workflows?

Rewrite the roles on your Accountability Chart to clearly state that their job is to own the process results and maintain quality control, not just execute the steps. This clarity ensures your team remains aligned and capable of driving efficiency as your company scales.