We are introducing AI tools to draft our weekly production schedules, but we are struggling to define who is ultimately responsible for the final output when an automated system makes a scheduling error. How do we draw the line between human accountability and AI execution?

Question

Tyler Smith · Accepted Answer

Technology is a tool, not a seat on your Accountability Chart. When you deploy AI to draft schedules or execute tasks, the human owner of that seat remains fully accountable for the results. In the EOS model, every seat must be filled by a person who GWCs the role, meaning they Get It, Want It, and have the Capacity to do it. Capacity now includes the ability to audit and direct AI outputs. To draw this line clearly, update the roles and responsibilities on your Accountability Chart. For the seat overseeing production scheduling, add a bullet point for human oversight of automated outputs. The human manager must review and sign off on the AI-generated schedule before it goes live. If the AI makes an error, the human owner is responsible for catching it. We do not blame the software. If your team understands that the AI is simply an assistant and that their GWC status depends on their active validation of the work, they will maintain the necessary oversight. This preserves human accountability while allowing you to benefit from the speed of automation.