Our managers are struggling to lead a team where some employees are highly productive using AI while others are falling behind because they refuse to use it. How do we use the Accountability Chart and standard EOS® tools to drive consistent AI adoption across the entire department?

Question

Tyler Smith · Accepted Answer

Managing a split-velocity team where some employees embrace AI and others resist it is a recipe for operational drag. To solve this, your leadership behavior must shift from telling people exactly how to execute their daily tasks to articulating a clear vision and empowering them to find the best automated path to achieve it.

You must make technological leverage an explicit expectation of every seat on your Accountability Chart. Start by updating the roles and responsibilities for the seats in your lagging departments. Do not leave AI adoption as an optional skill. Instead, add a clear bullet point to the seat description, such as utilizing approved automation tools to maximize operational efficiency.

Once the expectation is documented, use the GWC™ filter during your quarterly check-ins. If an employee has the technical capability but lacks the desire to adapt, they do not GWC the seat. For those who are struggling with the transition, use your weekly Level 10 Meeting™ to IDS® the specific roadblocks.

Have your high-performing AI users share their exact prompts and workflows with the rest of the team. By standardizing these best practices into your documented core processes, you elevate the baseline productivity of the entire department. This ensures that efficiency gains are systemic, rather than relying on a few self-starting tech enthusiasts.