Global medical device manufacturer achieves 57% efficiency gain in AI-assisted complaint reviews with zero missed defects

The manufacturer managed a high volume of complaint records requiring independent review before closure, each subject to strict regulatory requirements. Manual reviews were time-intensive, inconsistency across reviewers created compliance risk, and some issues were only caught during later audits. Increasing complaint volume was straining available quality resources.

The company piloted myQMS.ai's AI-powered Complaint Review audit application, developed by optiQMS Solutions, LLC. The AI system reviewed complaint records for compliance issues — including coding accuracy, investigation quality, reportability logic, and field consistency — acting as a conservative safety net before human independent review.

The pilot achieved a 57% reduction in independent review time while maintaining zero critical defects missed (zero beta errors). The AI also identified compliance gaps that had been missed by human reviewers. Reviewers reported high confidence in AI findings and consistency, and the pilot was approved for production deployment.

• AI can act as a reliable conservative safety net in regulated quality processes without introducing false passes, enabling faster throughput without sacrificing rigor.
• Consistent automated application of compliance requirements reduces reviewer-to-reviewer variability and surfaces issues that manual review occasionally misses.
• Augmenting rather than replacing human expertise is key: AI handles field-level consistency checks, freeing senior reviewers to focus on judgment-intensive decisions.