Quality Engineering Advisory for Ally Bank
How we helped
Challenge
Ally Bank was experiencing a high volume of production defects and limited visibility into which business areas were most affected. The client also needed to understand the root causes of delays and excessive production defects.
Solution
QualityAI assessed the current state of tools, resources, defect distribution, automation frameworks, and requirements quality. A scorecard identified key gaps, and a future-state plan was built with the client. QualityAI also used machine learning to predict defects, prioritize and optimize test execution, establish lineage from business requirements to defects and execution, and improve requirements quality through requirements analysis.
Impact
Test suite execution time was reduced by 30%, defects in critical business areas were reduced by 70%, and requirements quality increased by 30%.