Our middle managers are starting to use AI tools to track employee daily outputs and even draft performance reviews. How do we draw a hard line to ensure that leadership, management, and accountability stay human and do not become algorithmic?

Question

Tyler Smith · Accepted Answer

Using AI to compile metrics or gather performance data is a smart way to save time, but using it to replace genuine leadership and management is a recipe for a toxic culture. In the EOS® framework, the Lead, Manage, and Accountability seat, known as LMA, is strictly human. You cannot delegate LMA to an algorithm.

To draw a clear line, establish a rule that AI can only be used as an administrative preparation tool, never as the decision maker. For example, an AI can summarize weekly Scorecard trends or draft a starting outline for a quarterly conversation. However, the actual feedback, coaching, and evaluation must come directly from a manager who understands if the employee GWC™, which means they Get it, Want it, and have the Capacity to do the job.

Performance management requires nuance, empathy, and contextual understanding. If an employee receives a performance review that reads like it was written by a machine, you immediately erode trust. The manager must own the relationship and the message. Use technology to clear the administrative clutter, such as scheduling and data aggregation, so your managers have more face-to-face time to actually lead and manage their people. This keeps your culture healthy and ensures your Accountability Chart remains a tool for human connection, not robotic oversight.