Customer expectations are evolving faster than ever. People expect instant, personalized, and seamless experiences, while enterprises must balance growing complexity, operational efficiency, security, and regulatory requirements. As organizations race to adopt AI, the real challenge is no longer building just a chatbot, but a trusted AI system that can operate reliably at enterprise scale. In this session, learn how FedEx designed and scaled an enterprise conversational platform that combines Generative AI, enterprise knowledge, and intelligent workflows to deliver meaningful customer outcomes. Drawing from real-world experience, we will explore the journey from traditional support automation to a trusted AI platform capable of understanding customer intent, retrieving accurate information, and enabling action across business processes. Beyond architecture and technology, the session will examine the principles that made large-scale adoption possible: trust, governance, transparency, privacy, and human oversight. Attendees will gain practical insights into retrieval-augmented generation (RAG), platform design, AI evaluation, GDPR alignment, and preparing for the evolving requirements of the EU AI Act. Finally, we will look ahead to the next generation of enterprise AI: From conversational assistants to agentic systems that proactively solve problems, augment human expertise, and transform how organizations engage customers and employees. Whether you are an AI practitioner, architect, data leader, or executive, this session offers a practical blueprint for building AI that is scalable, responsible, and designed to deliver measurable business value.