QualityKiosk deploys AI-driven Watermelon solution to help a leading Life Insurance company optimize testing across 600+ Products
By Pooja razdan 
QualityKiosk deploys AI-driven Watermelon solution to help a leading life insurance company optimize testing across 600+ products
Overview
One of our premier insurance clients partnered with us with the aim of improving its operational efficiency and product quality through an AI-driven quality engineering strategy. The client was seeking to transform its testing processes and elevate quality standards across a diverse portfolio of products.
By prioritizing significant enhancements in testing speed and cost-effectiveness, QualityKiosk helped the insurer streamline testing operations and ensure rapid delivery of high-quality products to meet the dynamic demands of the market.
Digital
modernization
projects delivered
Reduction in
regression testing
times
Reduction in
Quality Engineering
costs
Zero
production
defects
Client
Goals
Short term Goals
- Improve scalability for regression testingÂ
- Increase test coverage Â
- ROI within 6 – 8 months of project initiationÂ
Long term Goal
- 5XÂ acceleration of test execution in lifecycle to be achieved in 3 years
Goals
Accelerate
time to market
Improve cost
efficiencies
Improve ROI for
investments made
in innovation
scalability
Strategy and Solutions Employed
QualityKiosk crafted an implementation strategy that was deployed in multiple phases with our partner Watermelon’s AI technology at the core. The implementation, from detailed project planning through user training, spanned eight months.
Watermelon’s no-code automated testing module revolutionizes testing with an AI-driven solution for web, mobile, desktop, and legacy applications. It offers traceability via JIRA, supports manual and automated test design, and features AI auto-healing for script maintenance. Users can create reusable “snippets” for flexible test construction and execute up to 100 tests in parallel across multiple platforms.
Watermelon implementation
The client partnered with QualityKiosk to implement the Watermelon platform for no code test case development, emphasizing complex no-code actions and reusability with snippets. Execution at scale involved using device labs, grids, emulators, and local on-premises browsers, with test cycle planning and collaboration as key componentsÂ
Phase One – Assessment and Baselining
- The assessment and baselining phase of the project involved evaluating the current state of the client’s Life Asia products.
- It further involved setting up reusable functional test snippets for New Business and Day 1 features for ULIPs and Conventional applications. This emphasized no-code actions and snippet reuse.
- Additionally, early performance insights about the legacy and desktop application testing were provided.
Phase Two – Build and Run
- Our team established essential hardware and software configurations to take advantage of Watermelon’s AI capabilities.
- This phase also included the Build team project planning with 6 to 8 milestones, focusing on basic script design and regression testing for 450+ product codes.
- The Run team conducted product testing across three major projects, covering 180+ product codes, where 10,000 test cases were reused.
Phase Three – Handover to Business as Usual (ongoing operations) Team
This stage involved implementing test data management and user adoption strategies. Watermelon’s low-code/no-code interface allowed all testers to engage effectively, marking a significant shift from previous automation attempts that relied on a limited number of technical testers. Continuous automation building for Day 2 features was transferred to QK’s BAU team.
 Project HighlightsÂ
- A lean team of four members focused on designing reusable tests within the Watermelon platform, covering over 600+ products.Â
- Developed a comprehensive test pack with 1100 test cases with unique conditions, built with snippets, that could be used across all products.Â
- Prepared test data by retrofitting production data with minimal changes, saving another 45% of test data creation time.Â
- Conducted a requirement study and leveraged existing automated test cases, reducing design time by over 70%. Our AI-led strategy is helping the client further optimize test case creation.Â
- Executed tests iteratively (up to four iterations) to ensure quality before production release, achieving desired results within the first two months for three project cases.Â
Business Challenges
Taking the lead in digitization, the pharma brand had already established a CI/CD pipeline for agile and accelerated innovation. To maximize its benefits, however, the client needed a robust automation-first quality engineering framework.
With APIs growing in complexity and volume, the client needed a quality engineering automation framework to enable the accelerated testing of evolving APIs across each endpoint of its digital ecosystem
With the quality engineering scope including both corporate and telemedicine applications, the pharma brand needed an end-to-end quality engineering solution that could support the diverse testing needs of its dynamic digital ecosystem.
Results Achieved
The implementation of the Watermelon platform yielded significant benefits across three projects:
- 63% Reduction in QA Test Cycle Time:
- Project 1: Aggregate 63% Turn Around Time (TAT) reduction
- Project 2: Aggregate 62% TAT reduction
- Project 3: Aggregate 58% TAT reduction
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- Improved Test Coverage:The platform allowed for extensive regression testing across a wide range of product codes without incurring additional costs.
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With digital penetration skyrocketing in the Middle East, the BFSI industry continues to evolve to meet the changing demands of the digital-first customers in the region. The trend has resulted in exponential growth in digital banking services in the region, with a recent report estimating the sector to have grown at 52% between 2021 and 2023.
Our client, one of the top 10 largest banks in the UAE offering a full range of innovative retail and commercial banking services, wanted to capitalize on the exponentially growing sector in the region and proactively stay ahead of the fast-changing banking landscape. To accomplish its goal, the UAE banking giant was undertaking an IT modernization journey to futureproof its digital ecosystem for high-velocity innovation, enhanced reliability, and user-centric experiences.
Combining the trifecta of proprietary processes, expertise, and technology, QualityKiosk analyzed the bank’s requirements and established a Testing Center of Excellence (TCoE) to enable accelerated quality engineering at scale.
Leveraging an AI-first approach, the TCoE helped the banking giant:
- Accelerate completion of 35+ digital modernization projects
- Develop an AI-ready enterprise-wide testing framework Â
- Reduce testing regression times by 70%Â Â
- Enhance automation penetration by 70%
- Reduce quality engineering costs by 20%
Download the complete case study today and access the roadmap to enable AI-powered enterprise-wide testing.Â
With digital penetration skyrocketing in the Middle East, the BFSI industry continues to evolve to meet the changing demands of the digital-first customers in the region. The trend has resulted in exponential growth in digital banking services in the region, with a recent report estimating the sector to have grown at 52% between 2021 and 2023.
Our client, one of the top 10 largest banks in the UAE offering a full range of innovative retail and commercial banking services, wanted to capitalize on the exponentially growing sector in the region and proactively stay ahead of the fast-changing banking landscape. To accomplish its goal, the UAE banking giant was undertaking an IT modernization journey to futureproof its digital ecosystem for high-velocity innovation, enhanced reliability, and user-centric experiences.
Combining the trifecta of proprietary processes, expertise, and technology, QualityKiosk analyzed the bank’s requirements and established a Testing Center of Excellence (TCoE) to enable accelerated quality engineering at scale.
Leveraging an AI-first approach, the TCoE helped the banking giant:
- Accelerate completion of 35+ digital modernization projects
- Develop an AI-ready enterprise-wide testing framework Â
- Reduce testing regression times by 70%Â Â
- Enhance automation penetration by 70%
- Reduce quality engineering costs by 20%
Download the complete case study today and access the roadmap to enable AI-powered enterprise-wide testing.Â
