Prerna Kaul is a product and platform leader who has spent over 14 years turning machine-learning research into consumer and B2B products at Amazon Alexa, AGI, Moderna, and now Panasonic Well. In today’s episode, she explains how she’s using AI to slash some of the most time-consuming, expensive tasks in life sciences—from generating 60,000-page FDA submissions to crafting communication frameworks that help product managers navigate complex stakeholder dynamics. Her innovations are saving millions of dollars and helping lifesaving treatments reach the market faster.

What you’ll learn:

How Prerna built an AI system that automates the creation of 60,000-page regulatory documents for the FDA—reducing a process that took 4 to 6 months and 20 specialists to just minutes
A step-by-step system for detecting and redacting PHI (protected health information) in clinical trial data using Claude
How to build user-friendly interfaces for non-technical colleagues using Streamlit to democratize AI tools
How to use Claude’s prompt generator to create powerful communication frameworks that help PMs navigate complex stakeholder situations
Why transparency about AI costs is crucial for gaining organizational buy-in and tracking ROI
A practical framework for approaching AI safety and ethics in highly regulated industries