Agentic AI in Pharma: Accelerating Batch Release from Days to Seconds
Instructor
Toni Manzano
Instructor
Kevin Baughman
Course Overview
For decades, the speed of batch release has been limited not by science but by the speed of data retrieval and the time consumed by reviewing hundreds of pages of paper records. Quality and Manufacturing teams often spend days waiting for manual reports or IT tickets to verify results, comments, time-series graphics, CPPs, CQAs, images, and other evidence manually recorded during batch production. But a new paradigm is emerging that is set to democratize GxP analytics and shatter these historic bottlenecks: Agentic AI.
In this session, we will explore how the industry is moving beyond static dashboards to conversational analytics, systems that translate user intent into fully functional tools in seconds. You will learn how Agentic AI empowers subject matter experts to instantly generate batch release cockpits, visualize complex deviations, and query production trends using natural language, all without needing a data scientist.
Join Toni Manzano (Aizon Co-Founder & Chief Scientific Officer) and Kevin Baughman (VP of Aizon Consulting Services) as they demystify this technology and demonstrate how to deploy it within a regulated environment.
What You'll Learn?
- Defining Agentic AI: Understand the shift from passive data monitoring to active, autonomous insight generation.
- Accelerating Decisions: Discover how Review by Exception and conversational queries can reduce data preparation time from days to mere seconds.
- Empowering the Workforce: Learn how to put advanced analytical power directly into the hands of shop floor and quality professionals.
- Ensuring Compliance: Best practices for governing AI agents to maintain data integrity and regulatory alignment in GxP manufacturing.
- Operational leaders (VPs of manufacturing
- Heads of Quality, Technical Operations Directors)
- Digital transformation professionals (Chief Digital Officers, CTOs...)
- C-Level Executives (CEOs, COOs, CFOs).