AI in pharma manufacturing is no longer a theoretical promise, but is already reshaping how we develop, scale, validate and release product. The real discussion is no longer if AI arrives, but how we deploy it responsibly. This session will explore how to distinguish hype from actionable value, where AI genuinely accelerates manufacturing performance, and where oversight, controls, and human critical thinking remain non-negotiable. In this session, you will learn how to:

• Leverage AI to reduce cycle times without compromising compliance.
• Apply AI tools and use cases designed for pharma’s unique process constraints.
• Avoid common pitfalls such as “AI will do it for us”, data leakage risks, and over-trusting the model.

• What criteria should we use to distinguish between AI hype and truly actionable applications in pharma manufacturing?
• How can AI be integrated into existing manufacturing workflows without compromising regulatory compliance?
• What are practical strategies to mitigate risks related to data privacy, security, and model transparency in pharma AI deployments?
• How do we ensure that human expertise remains central in AI-driven decision-making processes?
• Can you share examples or ideas of AI tools that have successfully addressed pharma-specific challenges, and what made them effective?

The moderators briefly summarize each World Café and present the key findings.