AI in CQV: Navigating Innovation and Regulation
Artificial intelligence (AI) presents new opportunities to strengthen Commissioning, Qualification, and Validation (CQV) activities across Life Sciences. This paper outlines how deterministic, static AI models— aligned with emerging regulatory guidance—can responsibly support document‑heavy, repetitive CQV tasks while preserving traceability, compliance, and human oversight. It synthesizes regulatory expectations, industry readiness, cross‑sector lessons, and practical near‑term applications that reduce administrative burden without altering the core principles that define CQV.