Quality assurance and quality control are essential to ensuring that AIDC systems perform consistently and as intended. From print quality and verification to process checks and routine evaluation, these practices help reduce errors, improve reliability, and support confidence in the data being captured and shared across operations.

In this session, Kevin Berisso of the University of Memphis, Julie McGill of Trustwell, and Chris Brown of TSC discuss the importance of testing, verification, and process discipline across AIDC applications. Their session provides practical guidance on how quality-focused practices can strengthen performance and long-term system effectiveness.