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Client: NexaPay
Industry: FinTech (Digital Payments)
Company Size: Medium-sized enterprise

Introduction

NexaPay, a fast-growing digital payment platform, faced challenges in maintaining the reliability and performance of its application as it scaled rapidly.

With millions of users relying on seamless payment processing, ensuring application stability and delivering new features swiftly was critical. NexaPay partnered with us to modernize its QA processes through AI-powered test automation.

Challenges

  • Manual Testing Bottlenecks:
    NexaPay’s manual testing processes were time-consuming and error-prone, leading to delays in their development cycle.
  • Frequent Regulatory Updates:
    Operating in the financial sector, NexaPay had to adhere to strict regulatory standards that demanded comprehensive compliance testing with every update.
  • High Defect Leakage:
    Critical bugs were being detected post-release, impacting user trust and customer retention.
  • Scalability Issues:
    With a growing user base, the platform needed to handle increased transaction volumes without compromising performance or quality.

Solutions

To address NexaPay’s challenges, we implemented a robust AI-driven QA automation framework tailored to their unique needs:

  • Self-Healing Automation Framework:
    We introduced an AI-enabled automation framework capable of self-healing test scripts, ensuring they remained stable even when the application’s UI underwent frequent updates.

  • Predictive Defect Analysis:
    Leveraging machine learning models, we identified high-risk areas in the codebase, enabling the team to focus on critical functionalities during testing.

  • Compliance Test Suite Automation:
    Automated 90% of compliance test cases using custom-built libraries integrated with NexaPay’s CI/CD pipeline for faster regulatory approval.

  • Performance Testing with AI Insights:
    Deployed AI-powered performance monitoring tools to simulate high-transaction scenarios, identifying and mitigating bottlenecks proactively.

  • End-to-End Testing:
    Designed and executed test cases covering the entire payment lifecycle, including integrations with third-party payment gateways.

Results

NexaPay experienced measurable improvements within the first three months of implementation:

  • Accelerated Release Cycles:
    Reduced the testing phase from 12 days to 4 days per release.

  • Increased Test Coverage:
    Achieved 95% coverage across functional and non-functional requirements.

  • Reduced Defect Leakage:
    Lowered post-production defects by 50%, significantly improving user trust and satisfaction.

  • Improved Compliance Readiness:
    Automated compliance tests reduced approval timelines by 30%, enabling quicker deployment of updates.

  • Scalability:
    Successfully supported a 2x increase in user base without performance issues.

Conclusion

Through the implementation of AI-powered test automation, NexaPay overcame its QA bottlenecks and achieved a scalable, high-quality release process. The collaboration with our team ensured faster delivery cycles, greater application stability, and compliance adherence, establishing NexaPay as a trusted leader in the digital payments space.

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