Our operational managers want to use AI to draft performance appraisals, write disciplinary notices, and summarize employee quarterly reviews. Why must executive leadership insist that people development stays entirely human?

Question

Tyler Smith · Accepted Answer

Using artificial intelligence to evaluate human performance destroys trust faster than almost any operational mistake. When an employee discovers that their performance evaluation, quarterly conversation, or disciplinary action was synthesized by a machine, psychological safety disappears. They recognize that management considers their professional development a low-value administrative chore rather than a vital leadership responsibility.

In a company running on EOS, evaluating whether an individual fits your Core Values and demonstrates GWC for their seat on the Accountability Chart requires human discernment, nuanced observation, and direct relational feedback. A language model can summarize project milestones or calculate attendance records, but it cannot gauge an employee heart, attitude, or alignment with your culture.

Keep the following strict boundaries on your leadership practices:

- AI can compile raw factual data, such as completed work orders, billable hours, or scorecard metric completion rates, to give managers an objective summary of performance metrics.

- All narrative evaluations, quarterly conversation notes, and People Analyzer reviews must be written directly by the supervising manager.

- Difficult conversations regarding performance deficiencies, disciplinary warnings, and termination decisions must remain entirely human in both composition and delivery.

Delegating empathy, mentorship, and accountability to software signals weak leadership. Use automation to eliminate paperwork and data entry elsewhere so your managers have the mental space and time required to actually coach, lead, and develop their people face to face.