3-day Virtual Seminar

AI for Computer System Validation (CSV)

Overview

This session explores how Generative AI can be strategically applied across the CSV lifecycle - from requirements traceability to test script generation to documentation review - to reduce cycle times and manual burden while preserving the rigor regulators expect. Attendees will gain a clear understanding of where AI fits into existing CSV workflows and how to introduce it without disrupting established validation practices.

Why you should Attend

Every week your validation team spends manually writing test scripts, tracing requirements, and compiling documentation is a week your competitors - who have already started applying AI to these exact tasks - pull further ahead. CSV bottlenecks delay system go-lives, drain SME time, and quietly inflate compliance costs. If your validation backlog keeps growing no matter how much headcount you add, the problem isn't your team's effort - it's the process, and AI is how you fix it.

Areas Covered in the Session

• The current state of CSV and where manual effort creates the greatest drag
  
• Applying AI to requirements traceability and gap analysis
  
• AI-assisted generation and review of test scripts and validation protocols
  
• Using AI to support user requirement specifications (URS) development
  
• Strengthening documentation quality and consistency with AI
  
• AI-assisted validation summary report drafting and review
  
• Maintaining data integrity and audit trail rigor in AI-assisted CSV
  
• Reducing revalidation effort through AI-supported impact assessments
  
• Positioning AI-enhanced CSV within existing quality management systems
  
• A practical path to piloting AI in your next validation project
  

Who Will Benefit

• Computer System Validation (CSV) Managers and Leads
  
• Validation Engineers and Analysts
  
• Quality Assurance Directors
  
• IT Compliance Managers
  
• Regulatory Affairs Professionals
  
• Quality Systems Managers
  
• Project Managers overseeing system implementations