GxP-Compliant AI as a Deployment Constraint

AI adoption in life sciences is increasingly constrained not by model capability but by regulatory compliance requirements such as GxP. This content explains how deploying AI in regulated environments requires traceability, validation, auditability, and controlled lifecycle management across data, models, and infrastructure. It outlines architectural patterns for compliant MLOps, including documentation, versioning, and monitoring aligned with regulatory standards. For technology leaders, the key implication is that AI deployment must be engineered as a compliance-first system, directly impacting scalability, time-to-market, and competitive positioning.