Customer feedback at scale is noisy, unstructured, and deceptively simple to get wrong — most systems flatten rich verbatim text into a single sentiment score, losing the precise signals that drive operational decisions. This session shows how semantic intelligence techniques like aspect-based sentiment analysis can decompose free-text reviews into structured, grounded insights at the aspect level, and how an agentic AI layer can then reason over those insights to autonomously surface patterns, answer analytical questions, and trigger remediation workflows. Through a live end-to-end demo built on the Microsoft Azure data and AI platform, attendees will see a practical architecture for turning verbatim chaos into actionable, trustworthy intelligence.