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
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