How do you implement agentic AI for automated customer support quality assurance?
Customer support quality assurance agents evaluate support interactions for quality, accuracy, and compliance. Configure agents with access to support ticket records, quality rubrics, and performance management systems. The agent analyzes interactions across channels including chat, email, and phone transcripts. Implement multi-criteria evaluation covering response accuracy, tone, resolution completeness, process compliance, and customer effort. Generate quality scores per interaction with specific feedback on areas for improvement. Identify coaching opportunities for individual agents based on performance patterns. Track quality trends across teams, topics, and time periods. Implement calibration workflows that ensure consistent quality assessment standards. Generate quality reports for management review with actionable improvement recommendations.