In its journey to harness Generative AI, Johnson & Johnson has prioritized responsible deployment with a strong governance framework to ensure ethical use and oversight. This session will share key lessons, highlighting steps taken to establish governance that balances innovation with accountability, maximizing AI’s impact responsibly. Attendees will gain insights into how Johnson & Johnson addressed compliance, data privacy, and ethics to create a sustainable Generative AI platform. Central to this approach is an open architecture, allowing flexibility in tool selection, a robust Model Garden, and efficient token management. Through the integration of Retrieval-Augmented Generation (RAG) and scalable pattern-based solutions, Johnson & Johnson has optimized model accuracy and applications across various use cases. The session will cover real-world challenges, proactive risk mitigation, and the vital role of cross-functional collaboration in aligning AI practices with corporate values and regulatory standards. This session provides actionable takeaways for organizations seeking responsible AI adoption, demonstrating how governance, open architecture, and ethical considerations foster sustainable AI, enhance user trust, and align with broader societal impact