Generative AI in Quality Engineering: Accelerating Test Design for a Big 4 Firm

Client

The client is one of the Big 4 firms—a global professional services organization supported by Hexaware Technologies across 7 Lines of Business (LOBs) for Quality Engineering and QA automation services. Their testing team was spending 2,700 hours per month on test design, hampered by defect leakage, limited documentation, and knowledge loss due to resource churn.

Challenge

Overcoming Inefficiency and Knowledge Gaps in Test Design at Scale

The engagement faced critical obstacles that undermined AI-powered test automation and Generative AI in software testing adoption:

• Defect leakages compromising quality outcomes and test coverage improvement
• Limited requirements documentation available for test creation
• Frequent follow-ups, causing delays and communication overhead
• Knowledge retention challenges driven by resource churn
•  A pressing need to shift-left activities for greater efficiency

Solution

Generative AI with Prompt Engineering and RAG Implementation

Hexaware’s QA team proposed leveraging Generative AI to enable scalable AI-powered test design and intelligent test automation across the organization. Key elements included:

• A customized implementation combining Prompt Engineering + RAG (Retrieval-Augmented Generation) for high accuracy and relevancy
• Data pre-processing, creation of embeddings, optimization of retrieval mechanisms, and development of reusable templates
• Upskilling existing SDET engineers in prompt engineering to effectively use these templates
• Dedicated prompt engineers who maintained and updated embeddings with the latest data
• Scaling the solution to larger teams to cater to all stakeholders

Benefits

Measurable Gains in Cost, Productivity, and Effort

• $250K Cost Savings Annually
• 5X Productivity Improvement
• 25% Effort Savings

Summary

Hexaware Technologies partnered with a Big 4 firm to address systemic inefficiencies in its Quality Engineering practice, where 2,700 hours of monthly effort across 7 LOBs were hampered by defect leakage, limited documentation, and knowledge loss due to resource churn. By deploying a Generative AI in a quality engineering solution built on Prompt Engineering and RAG techniques—complete with pre-processed data, optimized embeddings, reusable templates, and upskilled engineers—Hexaware delivered $250K in annual cost savings, a 5X productivity improvement, and 25% effort savings, enabling scalable AI-powered test automation and intelligent test automation across the organization.

Explore how Hexaware’s AI-powered test automation can accelerate your testing lifecycle. Learn more about our testing services here.