CDI teams aren't struggling because they lack automation. They're struggling because most automation treats every chart the same and clinical reality doesn't work that way. This live demonstration shows VISION Clinical Validation Technology® at work: a multifaceted AI model built by 300+ clinicians that combines machine learning, statistical modeling, GenAI, and clinical algorithms to analyze complete patient records in context and surface the highest-opportunity cases before a claim goes out the door. Using the HL7® FHIR® standard that powers live Epic® and Oracle Health integrations, VISION retrieves, segments, and contextualizes clinical data to deliver validated DRG findings that are clinically defensible, documentation-ready, and built to withstand payer scrutiny. This isn't a product overview. It's a working demonstration of what precision-first clinical validation looks like in practice and what it means for DRG accuracy, quality performance, and revenue per reviewed case. Key Takeaways: • Understand how Generative AI moves CDI beyond rule-based automation to contextual reasoning. • See the complete VISION workflow live: from prioritized worklist to chart retrieval, clinical finding, documentation query, and coding validation in a single integrated view. • Learn how pre-bill DRG validation connects directly to quality outcomes including Vizient, CMS STARS, LEAPFROG, HACs, and PSIs, not just financial performance. • Walk away with a practical framework for evaluating AI-driven CDI technology: what questions to ask, what to look for in a live demo, and how to measure impact on revenue per reviewed case. • Discover how CorroHealth IGNiTE™ and the HL7® FHIR® standard enable native Epic® and Oracle Health connectivity and what that means for workflow adoption and CDI team productivity in a live health system environment.