AI-Powered Coaching: How Automated Feedback Improves Agent Performance
In most call centers, coaching is essential but painfully limited. Supervisors can review only a fraction of calls, usually 5–10%. Coaching sessions get delayed when a QA trainer is sick, busy, or pulled into escalations. Human bias, subjectivity, and personal interpretation influence feedback. Additionally, in high-volume settings, agents generally have to wait days or weeks to get advice on errors they make repeatedly over dozens of calls. This results in unpredictable performance, delayed development, and increased operating expenses. AI-powered coaching, however, modifies all of that. AI analyzes every conversation transcript, promptly finds skill gaps, and offers each agent personalized coaching...
Trackagent.ai
January 22, 2026
7 min read
