Our AI-driven deviation analysis and CAPA management solution accelerates compliance, delivers consistent investigation quality, and strengthens audit readiness
Cresen’s AI-powered deviation-handling streamlines the entire deviation process—from detection to CAPA closure—with speed and precision. The system flags deviations via intelligent review or manual entry, then analyzes severity, compares patterns using historical data, and surfaces automated root-cause insights. AI-guided CAPA suggestions drive faster, more effective resolution while reducing manual effort and cutting recurrence risk.
Cresen’s AI-Assisted CAPA Execution workflow brings clarity, speed, and consistency to the implementation of corrective and preventive actions. The process begins by identifying and evaluating risk, with AI analyzing the complexity of the CAPA and flagging potential gaps or incomplete plans. From there, it intelligently maps tasks by interpreting CAPA descriptions, impacted groups, relevant processes, and linked documents—ensuring nothing is overlooked. Finally, AI continuously monitors CAPA effectiveness post-implementation, comparing outcomes against defined goals to verify impact and flag lingering risks. This intelligent oversight helps quality teams close the loop with confidence and efficiency.
Powered by advanced machine learning, our platform enables life sciences teams to
By analyzing relevant procedures and records
Using Al-assisted deviation profiling
Through deep pattern recognition
Using a guided, conversational workflow
Based on historical outcomes and Al insights
To ensure closure and compliance
