As organizations move beyond dashboards toward AI-assisted decision-making, many programs struggle with trust, consistency, and scalability. This tutorial walks through how modern analytics is evolving from ad-hoc querying and Excel-based analysis into governed, production-grade decision systems. Using real-world examples from large, regulated environments, the session will cover common pitfalls in AI-driven analytics, how conversational AI is implemented in practice, and why a robust Semantic Layer and Metric Governance are the mandatory foundations for reliable, hallucination-free outcomes. Attendees will leave with a practical framework for achieving 99.9% accuracy, ensuring their systems are not just "AI-ready," but regulatory-compliant.