Overview 

The industry’s first neo-bank was launched in the UK to specifically cater to the demands of affluent clients—approximately 7 million professionals, entrepreneurs, property investors, and others. With a mission to deliver hyper-personalized financial products (e.g., savings, fixed deposits, lending), their growth was always dependent on rapid software releases.

The Challenge 

A Need for Change 

For any financial institution, trust is built on reliability. Our client, a leader in digital banking and financial services, prided itself on delivering seamless customer experiences. However, as their digital offerings expanded, so did the challenges of maintaining software quality.  

The institution found itself at a crossroads—struggling with lengthy testing cycles, defect leakage, and the increasing pressure to release updates faster while maintaining impeccable reliability. 

Despite the best efforts of their development and quality assurance teams, traditional manual testing methods were falling short. Bugs that escaped detection in QA often came back in User Acceptance Testing (UAT), leading to costly fixes and delays. 

With customer expectations at an all-time high, the institution took a strategic approach to rethink its API testing metrics. 

The Objective

The Roadblocks to Innovation

The bank’s testing inefficiencies stemmed from several key pain points:
  1. Heavy Reliance on Manual Testing: The majority of test scenarios required manual execution, making regression testing time-consuming and resource-intensive.

  2. Defect Leakage: Up to 65% of defects made it past QA undetected, only surfacing in UAT, increasing remediation costs and time.

  3. Extended Testing Timelines: Some releases required up to 17 weeks of testing, delaying critical updates.

  4. Scalability Challenges: As digital services expanded, the existing test framework struggled to keep up.

Recognizing that speed and accuracy were important for them, our client the bank planned for a solution that could streamline its testing efforts without sacrificing quality. 

The Solution

A Shift to AI-Powered Test Automation

The bank got a complete walkthrough of qAPI—a next-generation, AI-driven test automation platform. Designed to seamlessly integrate with existing workflows, qAPI offered a scalable, codeless solution that would transform the institution’s testing strategy. With qAPI, the bank was able to:
  1. Automate Complex Test Scenarios: The team developed over 110 automated test scripts tailored to complex loan processing workflows, ensuring comprehensive validation.

  2. Reduce Defect Leakage: The defect leakage rate from QA to UAT dropped from 65% to just 10%.

  3. Accelerate Test Cycles: Testing timelines were reduced from 17 weeks in Release 4 (R4) to just 5 weeks in Release 9 (R9), a 70% reduction in test cycle times.

  4. Optimize Testing Efforts: Manual testing efforts in UAT were cut by 80%, allowing testers to focus on more strategic tasks.

  5. Enhance Test Execution with AI: qAPI’ AI-powered platform enabled early bug detection, reducing last-minute defects and rework.

The Solution 

A Shift to AI-Powered Test Automation 

The bank got a complete walkthrough of qAPI—a next-generation, AI-driven test automation platform. Designed to seamlessly integrate with existing workflows, qAPI offered a scalable, codeless solution that would transform the institution’s testing strategy. With qAPI, the bank was able to: 

  1. Automate Complex Test Scenarios: The team developed over 110 automated test scripts tailored to complex loan processing workflows, ensuring comprehensive validation. 
  2. Reduce Defect Leakage: The defect leakage rate from QA to UAT dropped from 65% to just 10%.
  3. Accelerate Test Cycles: Testing timelines were reduced from 17 weeks in Release 4 (R4) to just 5 weeks in Release 9 (R9), a 70% reduction in test cycle times.
  4. Optimize Testing Efforts: Manual testing efforts in UAT were cut by 80%, allowing testers to focus on more strategic tasks.
  5. Enhance Test Execution with AI: qAPI’ AI-powered platform enabled early bug detection, reducing last-minute defects and rework.
The Impact

Delivering Measurable Impact

The implementation of qAPI transformed the financial institution’s approach to testing, yielding substantial benefits:
  1. Enhanced Efficiency: The institution automated over 550 test cases, achieving 90% test script execution on qAPI.

  2. Higher Software Quality: Early-stage bug detection led to fewer production defects and improved software stability.

  3. Reduced Operational Costs: The shift from manual to automated testing significantly lowered costs.

  4. Scalability & Security Compliance: qAPI’ cloud-based, ISO 27001 & SOC2-compliant infrastructure ensured a secure and scalable testing environment.

  5. Seamless Integration: With its intuitive, codeless interface, qAPI eliminated the need for costly custom frameworks, making adoption seamless.

Qyrus’s all-in-one platform combines AI intelligence, codeless automation, and enterprise-grade security to empower teams across the testing lifecycle: 

  1. Unified Testing: Complete end-to-end API testing on a single cloud platform. 
  2. Zero Maintenance: Pre-configured infrastructure with no setup time. 
  3. Cost Efficiency: Reduced operating costs and human errors by up to 40%. 
Read More : How Organizations Can Leverage AI and Automation to Transform API Testing beyond Developer Centric Approach 

About qAPI :

qAPI is the industry’s first End-to-End API Testing company that helps organizations achieve API protection in a cloud-first, API-driven world. We help businesses with innovative tools and services designed to streamline API testing, ensure reliability, and enhance application performance. Trusted by financial institutions, logistics companies, and many more worldwide, we help organizations create products and APIs they can depend on for seamless performance and integration. 

To learn more about our products and services, visit us at www.qyrus.com/qapi/ 

Overview 

Our client has cemented its position as an industry leader by providing to timely services and maintaining public health standards for over a decade. As one of the leading North American waste handling companies, with over 50,000 employees and $15.2 billion in revenue, they recognized the need to enhance its software systems to manage tasks such as collections, waste disposal, logistics, inventory, and supply chain distribution.  

The Challenge 

Breaking Free from Legacy Testing Limitations 

As customer expectations evolved and operational demands surged, the company needed to rethink how it built, tested, and deployed its technology. Instead of relying on traditional methods, they adopted a data-centric, outcome-driven approach to overcome testing challenges. 

The digital ecosystem was built on a complex network of APIs and microservices, powering everything from customer portals to logistics management and even legacy applications. The company had two critical applications driving its day-to-day operations: a customer-facing e-commerce platform and an internal business process application.  

These systems powered everything from service requests to route optimizations, and they were evolving fast. The problem? Testing wasn’t keeping up and cost the team a lot of time. 

Manual API testing had once been sufficient, but with the explosion of new endpoints and frequent updates, the cracks started to show: 

  1. Test Coverage Gaps: The team could only validate a fraction of their API interactions, leaving potential defects unnoticed. The testing infrastructure struggled to handle the growing complexity of their API ecosystem. Traditional tools were not designed to test the intricate interactions between microservices effectively.

     

  2.  Slow Releases, Growing Risks: Each new release carried the risk of undiscovered bugs, as they were often discovered late in the development cycle affecting performance.

     

  3.  Resource Strain: With engineers stretched thin, the testing process was eating into development time, forcing teams to choose between speed and quality. 

For a company built on efficiency, this was a roadblock they couldn’t afford. 

The Objective 

Redefining The Testing Approach 

The company started to explore on the possibility of a digital transformation journey, heavily relying on API enhancement to streamline workflows. 

The leadership team knew they had to break free from the limitations of manual testing. Their goal was to implement a testing solution that could: 

  1. Accelerate Testing Cycles: Reduce the time required for API testing without compromising on quality.

     

  2. Improve Test Coverage: Ensure comprehensive validation of API interactions, including edge cases and error handling.

     

  3. Accelerate deployment cycles without sacrificing quality, ensuring every update improved—not jeopardized—user experience.

     

  4. Scale with Growth: Build a testing framework capable of handling the increasing complexity of their microservices architecture. 

After seeing qAPI seamlessly integrate into their processes and bring a refreshing change of pace, the waste handling company knew it was a trusted solution. Now, they were ready to turn this vision into reality. 

The Solution 

Intelligent Automation, Real-Time Insights 

With qAPI’s AI-powered, codeless API testing platform the company was able to create customized workflows designed to eliminate bottlenecks and supercharge testing capabilities.  

By leveraging automated testing, the company established a structured testing framework that enabled seamless collaboration across teams. This approach accelerated the detection and resolution of defects throughout the service journey, ensuring a more natural and effective development progression. 

The implementation helped deploy: 

  1. 4,500 Automated Test Scenarios: Within four months, the company automated thousands of test cases, covering 400+ API endpoints across SOAP and REST architectures. 

  2. Dynamic Data Injection: Unlike traditional scripts, qAPI leveraged unique, randomly generated data to simulate real-world interactions and uncover hidden vulnerabilities.

  3. Seamless CI/CD Integration: The platform integrated directly into the company’s development pipelines, enabling automated test execution with every new build. With this process in place, teams had a comprehensive report of all of their systems within minutes of finishing a new build.

  4. Scalability Beyond APIs: Encouraged by success, the company expanded automation efforts into mobile and web testing, to eventually convert into a unified testing ecosystem.

  5. qAPI Process Testing: Integrations between different applications and systems were validated after being triggered after a new build.

The Impact

Testing The Impact of Custom API Testing Strategy 

  1. Accelerated Release Cycles: Automated API testing reduced testing time by 40%, enabling faster deployment of new features and updates.

  2. Higher Software Quality: Comprehensive test coverage and early bug detection resulted in a 30% reduction in production defects, enhancing software stability and reliability.

  3. Seamless Team Collaboration: A unified testing platform improved communication and coordination across development teams, reducing misalignment and increasing efficiency.

  4. Scalability for Growth: qAPI’s scalable infrastructure ensured that the company’s testing framework could expand alongside its business, supporting long-term digital transformation.

  5. Operational Cost Savings: By minimizing manual testing efforts and late-stage defect resolution, the company significantly reduced development and maintenance costs. 

About qAPI 

qAP is the industry’s first End-to-End API Testing company that helps organizations achieve API protection in a cloud-first, API-driven world. We help businesses with innovative tools and services designed to streamline API testing, ensure reliability, and enhance application performance. Trusted by financial institutions, logistics companies, and many more worldwide, we help organizations create products and APIs they can depend on for seamless performance and integration. 

To learn more about our qAPI.