This talk presents a comprehensive framework for implementing enterprise‑scale generative AI applications in the healthcare sector. The presentation explores the evolution from traditional AI to modern generative models, highlighting how GenAI is projected to generate $60‑110 billion in annual value across the pharmaceutical industry. The talk covers critical aspects of production deployment, including multiple GenAI approaches (fine‑tuning, RAG, custom models), architectural considerations, and practical implementation strategies. It addresses key challenges such as data privacy, model hallucinations, and cost optimization while providing concrete solutions through LLMOps frameworks and robust governance structures. Special emphasis is placed on healthcare‑applications, including , while navigating regulatory compliance and ethical considerations. The presentation concludes with a practical roadmap for scaling GenAI solutions from proof‑of‑concept to production, ensuring responsible AI deployment within healthcare’s stringent requirements.