The requirement is to detect customer dissatisfaction before it escalates. Cisco's AI Assistant reporting and quality features include automatic CSAT scoring, which estimates customer satisfaction from interaction signals and gives the contact center a proactive way to identify poor experiences without waiting for a manual survey response. Topic analytics identifies common contact drivers and trending issues, which is valuable for operational improvement but does not directly score whether a specific customer is dissatisfied. AI-generated summaries reduce after-call work and improve handoff context, but they do not by themselves predict dissatisfaction. Real-time transcripts provide the text foundation for analysis and assistance, but the feature that turns interaction data into a customer-satisfaction signal is automatic CSAT scoring. For a customer-experience program focused on early dissatisfaction detection and proactive resolution, automatic CSAT provides the required risk signal. Reference: Cisco Help, AI Assistant reports in Analyzer; Cisco AI Assistant for Webex Contact Center documentation.