# How to Use Agentic AI to Systematically Prevent Deviations

October 14, 2025,
11:00 am EST

60 mins

Recorded on October 14, 2025 • 60 mins

Artificial intelligence (AI) is already writing code, generating requirements, and suggesting test cases — but how do RA/QA teams maintain oversight when these tools operate inside regulated workflows? This session explores how to ensure traceability, enforce QMS requirements, and validate AI-generated outputs using a risk-based approach. We will share best practices and walk through a real-world case study showing how teams have successfully embedded compliance into their development tooling.

## What you'll learn

- Automate compliance documentation and reduce manual effort by up to 90%
- Use AI-driven quality reviews to catch issues that might be missed while keeping humans in the loop
- Accelerate product innovation 10x in a controlled way that aligns with regulatory requirements

### Clips from this Webinar

## Speakers

### Jenn Dixon

Director of AI Quality & Regulatory Strategy

### Bailey Canter

Director of Solutions  
  
Formerly Scrum Master, Amwell & Systems Engineer, Raytheon.