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.
|
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- Our client was navigating through several challenges, including modernizing outdated quality assurance (QA) practices for the digital era and dealing with a fragmented QA organization that relied on antiquated processes and tools.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, QA Center of Excellence (CoE), and managed services, we helped transition to ‘one consolidated QA team’, building efficiencies of scale, standardization, and benchmarked KPIs
Technology Used
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Results & Outcomes
