Case Studies

A Prominent Wealth Management Company Accelerates Releases with QualityKiosk’s AI-Driven Solutions

Industry & Segment

Capital Markets

Objective

To accelerate software release cycles for a wealth management firm by leveraging AI‑driven quality engineering solutions that improve efficiency, reliability, and time‑to‑market.

Platforms

qRace

Client Overview

India’s leading wealth management company embarked on a transformative journey to modernize its services with a ‘Digital First’ approach. The client’s primary goal was to cater to the mid-market segment by offering diverse investment solutions customized to meet the unique needs of this underserved market segment. The success story showcases how our AI-driven digital solutions and a customer-centric approach drove operational efficiency, enhanced product quality, and provided a competitive advantage for sustained growth and success.

Business Challenges

Constantly evolving requirements

The dynamic nature of requirements posed a challenge in maintaining alignment with evolving market demands.

Scope creep and project delays

Scope creep led to delays in project timelines, impacting the overall delivery schedule.

Timely build delivery

Challenges in delivering builds on time aected the project's progress and go-to-market strategy.

Dev team defect SLAs

The development team faced challenges meeting Defect Service Level Agreements, which impacted product quality.

Need for sandbox environment

The absence of sandbox environment hindered eective testing and validation processes.

Need performance tests and environmental issues

The lack of performance tests and environmental issues further complicated the development and deployment processes.

Accelerate your release cycles with AI‑driven quality engineering. Partner with QualityKiosk to deliver faster, reliable outcomes.

QualityKiosk’s Strategy

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To overcome these challenges, we implemented the following strategies:

• API Testing Strategies: Introduced governance measures and SOPs to streamline operations and ensure consistency. Used advanced API testing strategies to validate business-critical functions and ensure high performance.

• Stringent Quality Metrics: Enforced stringent quality metrics to address low-quality builds and breaches in Service Level Agreements..

•  Intelligent Automation: Introduced automated regression testing packs to streamline testing processes, enhance efficiency, and improve product quality

Technical Results

80%

Reduction in overall defect density

20%

Improvement in API performance

Timely

Build delivery

Business Benefits

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Accelerated Time-to-Market

Achieved a 30% reduction in redundancy, streamlining processes and accelerating time-to-market for new offerings.

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Defect Density Reduction

Successfully reduced defect density by 80%, enhancing product quality and customer satisfaction.

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Enhanced API Performance

Improved API performance by 20%, ensuring a seamless and efficient user experience.

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Successful Launch and Scalability

Facilitated a successful launch with the application scaling up to 1000 Transactions Per Second (TPS), meeting the demands of a growing customer base and ensuring operational scalability.

 

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