Key highlights
Enabled monitoring of 3M+ peer-to-peer (P2P) transactions daily
Achieved 20% effort savings through intelligent automation
Delivered 99% reduction in server administration effort
Client overview
Client type : Leading global payments technology company
Market : Global
Industry : Payments and Financial Services
Engagement duration : Multi-year strategic engagement
Challenges
The client faced several operational and compliance challenges across its payment ecosystem:
1.
Manual promotion and deployment of business rules delayed releases and increased operational risk.
2.
Large volumes of product test cases required significant manual effort, reducing productivity and release velocity.
3.
Limited transaction monitoring capabilities for high-risk payment segments increased exposure to fraud, money laundering, and compliance risks.
Solution
1.
Cross-border payments rule engine
Designed and implemented a centralized business rules management platform and a layout configuration framework, enabling secure, scalable, and streamlined administration of rules across payment processing environments.
2.
Quality engineering and test automation
Developed a Selenium-based automation framework integrated with CI/CD pipelines to automate regression, functional, and validation testing, improving release quality and reducing manual effort.
3.
Intelligent transaction monitoring
Built a flexible transaction-monitoring platform featuring configurable business rules, real-time alerts, and user-friendly investigation dashboards to strengthen fraud detection and regulatory compliance.
Impact
1.
Enabled monitoring of 3 million+ transactions daily across peer-to-peer payment channels.
2.
Reduced testing effort by 20% through automation-led quality engineering.
3.
Achieved a 99% reduction in server administration effort through platform modernization and process automation.
Improved operational efficiency, governance, and risk visibility across critical payment workflows.
5.
Enhanced compliance readiness through proactive monitoring and automated controls.