Change Control for SaaS and AI Systems: Managing Configuration Drift and Revalidation Without Creating Validation Backlogs

Traditional change control processes were designed for static, on-premise systems with infrequent updates. Today's SaaS platforms and AI-enabled applications operate in a rapidly evolving environment where software updates, configuration changes, vendor releases, model updates, integrations, and cloud infrastructure modifications occur continuously. Organizations must maintain compliance and validated states without creating overwhelming validation backlogs or slowing innovation.

This webinar provides a practical, risk-based framework for managing change in SaaS and AI systems while maintaining regulatory compliance and inspection readiness. Participants will learn how to identify and control configuration drift, assess the impact of vendor-driven changes, determine when revalidation is required, and implement efficient change management strategies that align with FDA CSA principles, GAMP® 5 Second Edition guidance, and modern regulatory expectations for computerized systems and AI-enabled technologies.