Staff Servicing – Enhancing QA in Client-Facing Operations and Service Workflows

Explore how Quality Assurance improvements in staff servicing have elevated client-facing operations and service workflows. By implementing robust test automation and functional validation, this initiative ensured process consistency, reduced errors, and enhanced overall service delivery efficiency.

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PROJECT HIGHLIGHTS

Client Context

The Staff Servicing platform supports key client-facing functions such as service request management, card issuance and blocking, home and personal loan processing, and loyalty rewards. It integrates with various systems like MDM, Core Banking, ECM, MI Revenue System, and CAMS Operations Team. Due to its business-critical nature, QA issues in this area led to service disruptions, client complaints, and regulatory challenges.

Challenges

  • Manual regression cycles were repetitive and time-consuming

  • High defect leakage caused frequent production issues affecting customer experience

  • No test automation across core workflows (loan, card, rewards)

  • Limited non-functional testing during high-load scenarios

  • Lack of standardized test design and traceability to compliance checkpoints

Solutions Implemented

Qeagle implemented a structured QA transformation strategy for Staff Servicing:

  • Developed UI and API automation for service requests, card management, loan approvals, and rewards handling
  • Built reusable test components simulating multiple request types and status flows
  • Automated complex workflows such as multi-step disbursals, hotlisting, and redemptions
  • Used Postman for API validations and automated edge and boundary test scenarios
  • Introduced performance testing for high-volume workflows (rewards, EMI cycles)
  • Integrated automation into CI/CD for continuous validation
  • Enabled real-time log monitoring and issue tracking through Kibana and Splunk

Value Delivered

  • 0% defect leakage in recent production releases for staff servicing modules
  • 90% test automation achieved across service, card, and loan flows
  • Faster execution and earlier defect detection improved release quality
  • Strengthened QA-Dev-Infra collaboration for faster triaging and issue resolution
  • Created a scalable, standards-aligned framework for long-term QA maturity

Impact Highlights

  • 38% reduction in manual test efforts across key modules
  • Early defect detection in integrations with MDM, ECM, and CAMS
  • Real-time failure insights and alerts via Kibana and Splunk integration
  • Comprehensive lifecycle coverage for card, loan, and rewards servicing flows

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