Webinar
Reducing Errors and Gaining Efficiency in Your CPV Program
Discover how AI is transforming Continued Process Verification (CPV) from a reactive, manual burden into a proactive, intelligent system that drives efficiency, accuracy, and real-time decision-making in Pharma Manufacturing.
The concept of continued process verification (CPV) was first introduced a decade ago, when the FDA published its Guidance for Industry: Process Validation: General Principles and Practices. Continued process verification is key to ensuring the consistent performance and capability of the control strategy across the product lifecycle.
However, manual CPV practices such as data extraction and reporting, often seen as standard, quietly contribute to inefficiencies, errors, data integrity issues, and delays. These inefficiencies drain resources as teams become overwhelmed by repetitive data handling and reactive problem-solving, shifting their focus away from strategic priorities.
Today, with artificial intelligence (AI) becoming more widely available for predictive modeling and agentic AI, relieving teams of time-consuming tasks, the industry is unlocking a digital future for process optimization in pharmaceutical manufacturing.
This webinar invites you to rethink your approach to CPV execution by exposing the hidden costs of manual CPV and challenging assumptions that may ultimately be undermining operational performance.
Register now to uncover hidden inefficiencies and learn how to transform your CPV program into a proactive, action-oriented AI-aided early warning system.