This document is a technical report that outlines an AI-powered analytics solution specifically designed for healthcare call centers. It addresses the challenges faced by hospital call centers, where a significant number of patient interactions remain unanalyzed, leading to a lack of visibility into caller sentiment and agent performance. The report details the capabilities of the AI solution, including speech-to-text transcription, real-time sentiment analysis, and automated quality assurance (QA) training. It describes the phases of implementation, which include discovery, pilot, and scaling, along with the activities and deliverables associated with each phase. The solution aims to enhance call coverage, provide real-time analytics, and facilitate targeted staff development, ultimately improving patient experience and operational efficiency. By leveraging data-driven insights, the framework seeks to eliminate blind spots in quality and compliance while ensuring measurable return on investment for healthcare organizations.