CASE STUDY
Consolidated siloed testing, built automation center of excellence and achieved 30% cost reduction and 80% test automation, leveraging Gen AI, in three months.
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35% lower QA operating costs |
60% faster release cycle times |
80% reduction in test design effort |
Company Overview
The client company is a leading healthcare release of information services company with a market valuation of $1.5 billion. The company counts employers, health plans, providers, government and life sciences among it's service segments.
| Company Type | Company Size | Company Capitalization |
|
Digital Health & Wellness |
Mid+ Market | 2400+ Employees |
$1.5 B |
Business Problem
- Our client was navigating through several challenges, including modernizing outdated quality assurance (QA) practices for the digital era and dealing with a fragmented QA organization that relied on antiquated processes and tools.
- Ask from or client was to streamline their current testing landscape with the aim to improve software quality, scalability and lower testing cycle time for new releases.
- Key issue identified: no central test case repository, underutilized test management tool, absence of QA metrics & KPIs, and limited automation
Approach
- Our Quality Engineering team worked closely with the client to build an end-to-end testing strategy, that leveraged generative AI (GenAI) to drive the transformation.
- We built GenAI-based accelerators to automatically generate test assets, that helped in rapidly deploying automations and accelerated the testing cycles
- Through a combination of global delivery, Quality Engineering Center of Excellence (CoE), and managed services, we helped transition to ‘one consolidated quality engineering team’, building efficiencies of scale, standardization, and benchmarked KPIs
Technology Used
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Results & Outcomes
