Sarcouncil Journal of Engineering and Computer Sciences

Abstract: Releasing software within highly regulated sectors utilizing SaaS platforms necessitates User Acceptance Testing (UAT) for each tenant before deploying changes to production, ensuring adherence to legal, regulatory, and operational standards. The conventional UAT process is manual, costly, and time-consuming, often taking weeks to months. This article presents SaaS Verify AI, an innovative architecture that uses AI agents to automate UAT and compliance validation across multi-tenant SaaS platforms. The solution facilitates dynamic generation of test cases and scripts, automated execution within tenant runtime environments, and secure capture of audit-ready evidence supporting compliance frameworks such as FDA CSA, ISPE GAMP 5, HIPAA, PCI DSS, NARA policies, DSCSA, EU FMD, and other industry regulatory requirements. By enabling tenant-driven, compliance-assured automation release validation, SaaS providers can reduce release cycle time by up to 60%, lower operational costs by 30-60%, and improve audit-ready compliance reports while maintaining quality and trust in regulated environments.