Scaling quality education with QE&T

A large education company struggled to support their rapid Shopify-based ecommerce store rollouts due to a largely manual testing approach.

This lack of support created bottlenecks across the release cycle — slowing time-to-market, increasing operational costs, and introducing data inconsistencies between legacy systems and new implementations.

Manual test execution tracking and reporting further limited the scalability and efficiency across the QA function.

This client partnered with Sogeti to modernize its quality engineering approach through an agent-driven automation framework. Leveraging GitHub, Copilot, and Playwright, we introduced AI-powered agents capable of generating, executing, and reporting test scripts.

This also enabled automated data validation between legacy and new systems, while a shift-left strategy helped identify issues earlier and accelerate release cycles.

The transformation delivered:

-Reduced Regression cycles from 5 days to 6 hours (an 83% acceleration)

-More than 90% automation coverage

-70% savings in automation development efforts, allowing teams to reallocate capacity to higher-value testing and innovation initiatives automation coverage