We have automated several major coordinator roles on our Accountability Chart, but we are struggling to define the GWC™ for the remaining human managers who now oversee AI agents instead of people. How do we update our roles and responsibilities when a seat is managing code rather than direct reports?

Question

Tyler Smith · Accepted Answer

When AI automates low-value, repetitive tasks, the nature of management changes entirely. Your Accountability Chart must evolve to reflect this shift. You can no longer measure a manager by the size of their human team or the hours their direct reports log.

To update these seats, you must redefine what it means to GWC the role. A manager overseeing automated workflows needs to understand how the systems connect and how to audit the outputs. Their five key roles on the Accountability Chart should focus on system uptime, error rate, prompt optimization, and strategic alignment, rather than human coordination.

This transition requires a shift in leadership behavior. You are no longer telling people what to do. Instead, you are defining the exact strategic outcomes required and managing the technology that produces them.

As Andrew McAfee and Erik Brynjolfsson point out, the highest-performing companies are those that redesign their organizational structure to match their technological capabilities. Your managers must shift their focus to higher-value strategic work. If a manager cannot grasp how to audit and optimize an automated workflow, they do not GWC the seat. You must either train them or find someone who can manage the code as effectively as they manage people.