Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 7 October 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.
Case Study
Hexaware deployed GenAI with RAG to transform 2,700 monthly test design hours across 7 LOBs, delivering $250K in annual savings.
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.
The engagement faced critical obstacles that undermined AI-powered test automation and Generative AI in software testing adoption:
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:
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.