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

Who should attend

Speakers

Jenn Dixon

Director of AI Quality & Regulatory Strategy
Ketryx

Bailey Canter

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

Clips from this Webinar

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