Ivy League university scales QA automation for more reliable, inclusive digital services

A prestigious Ivy League university supporting students, faculty, staff, and alumni across its academic and administrative operations.

Without a centralized QA team or standardized processes, the university faced fragmented testing, missed defects, and slower releases. Inconsistent practices reduced visibility and eroded confidence in digital services for students, staff, alumni, donors, and users with disabilities. Leadership set out to unify QA efforts, improve performance during critical cycles, and ensure accessibility across all platforms.

Managed QA services supporting 100+ student, faculty, and admin applications—including TMMi-based consultancy, functional and automated testing, non-functional (performance and accessibility) testing, and ongoing QA governance.

Integrated into university IT to provide scalable, predictable testing—especially during peak periods like enrollment and donation cycles. Used AI automation frameworks and open-source tools to standardize processes and drive ongoing QA improvements.

1. Standardized QA processes through TMMi-based assessments.
2. Centralized testing talent under a unified QA team, promoting best practice sharing.
3. Automated production releases to ensure smoother go-lives and fewer surprises.
4. Used AI-driven test automation to expand test coverage and focus human effort where it mattered most.