Payments – Enhancing QA in Domestic Collections and Transactions

Discover how Quality Assurance plays a critical role in improving the accuracy, security, and efficiency of domestic payment collections and transactions. From validating data integrity to automating test scenarios across banking workflows, learn how robust QA strategies help financial institutions reduce risk, boost compliance, and deliver seamless customer experiences.

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PROJECT HIGHLIGHTS

Client Context

The Domestic Payments platform serves as a core collections system supporting ACH transactions from client and non-client banks. It manages both real-time and batch transactions, covering downstream operations such as dispute handling, suspense reconciliation, and error messaging. Due to its critical business role, QA gaps had a direct impact on compliance and customer satisfaction.

Challenges

  • Manual regression cycles were time-intensive and repetitive
  • High defect leakage and frequent production issues
  • Lack of automation across CI/CD pipelines
  • Limited performance and non-functional testing coverage
  • Poor standardization in test code and traceability to business requirements

Solution Delivered

Qeagle introduced a structured QA transformation strategy:

  • Developed extensive API automation covering real-time and batch payloads
  • Designed and executed large, complex payloads with functional and technical accuracy
  • Validated APIs using Postman and automation scripts to ensure robust error handling
  • Raised critical defects proactively and aligned tests with requirement traceability
  • Applied industry-standard coding practices in automation to match business workflows and compliance standards
  • Introduced NFT (Non-Functional Testing) scripts for performance validation
  • Enabled environment support and monitoring using Dynatrace and Kibana for real-time observability and alerting

Value Delivered

  • Achieved 0% defect leakage in recent production releases
  • Automated all new API test cases with full payload validations
  • Accelerated testing cycles and improved early defect detection
  • Strengthened collaboration across QA, development, and environment teams
  • Established a standardized automation structure for better traceability and maintenance

Impact Highlights

  • 40% reduction in manual effort via automation
  • Early identification of critical functional and integration defects
  • Enabled performance monitoring through Dynatrace and Kibana
  • Expanded test coverage across real-time and batch transaction flows
  • Embedded shift-left testing practices to catch issues earlier in the development cycle

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