AI-Readiness In A Regulated World: A Practical Playbook For Life Sciences

The operational realities of artificial intelligence governance in life science manufacturing demand immediate attention following recent regulatory actions. Relying on automated tools without human verification introduces severe risk, as regulators enforce existing cGMP standards directly against ungoverned automated decisions.

Establishing true readiness requires aligning people, processes, data quality, and compliance protocols rather than focusing solely on technological capability. Organizations must ensure data hygiene, enforce human-in-the-loop oversight, and maintain transparent decision logs to defend operations during regulatory inspections. Standardized management frameworks, such as ISO 42001, provide a structured approach to continuous risk monitoring, audit preparation, and vendor oversight. Prioritizing structured governance before deploying advanced tools safeguards regulatory trust while driving long-term operational efficiency. Access the full presentation to discover practical steps for building defensible, compliant internal frameworks.