Welcome to Automating Quality, the life sciences–focused show exploring how quality, risk, and technology intersect to modernize regulated environments.
In this episode, Mandy and Philippe are joined by Niyati Patel, Strategic Quality and Compliance Advisor with 20+ years of experience across pharma, biotech, medtech, and regulated digital implementations. Niyati specializes in the intersection of quality, validation, and digital transformation.
Together, they unpack how validation is evolving in the transition from Computer System Validation (CSV) to Computer Software Assurance (CSA). The discussion challenges common misconceptions, emphasizing that the real shift is toward risk-based thinking, lifecycle control, and deeper system understanding rather than documentation-heavy compliance.
The conversation then moves into AI. Niyati outlines how organizations should rethink validation frameworks to focus on boundaries, governance, and human oversight, positioning AI as decision support rather than decision-making.
Through practical examples and real-world use cases, this episode sets the foundation for understanding how quality leaders can responsibly adopt AI while maintaining compliance, control, and trust.
Key Takeaways
- 01:09: Introducing today's topic
- 03:24: Niyati’s background
- 05:43: What is CSV (and its limitations)
- 09:06: What CSA actually changes
- 10:41: Validation rigor is NOT reduced
- 14:00 Why AI breaks traditional validation
- 16:23: Why AI must be used for decision support, not autonomous decision making
- 19:13: Example of AI validation framework
- 23:40: What validation now proves
Please contact us at solabs-podcast@solabs.com if you have questions or comments.
Mandy Gervasio
Niyati Patel
Philippe Gaudreau
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