Enhancing Payroll Performance:
Achieving 90% Accuracy
with Automated, Scalable Solutions
Overview: The customer is a globally recognized American multinational managed healthcare and insurance company. Renowned for providing high performing, modern, and accessible healthcare solutions, they required a dynamic and scalable payroll system to match their fast evolving workforce.
Objective: Streamline payroll operations to eliminate inefficiencies, reduce manual intervention, and ensure timely and accurate salary disbursements across diverse teams and geographies.
Business Challenges
The customer’s growing and dynamic workforce presented unique challenges in managing payroll and attendance across multiple systems and time zones. Their key concerns included:
Disparate Attendance Systems: Difficulty in managing inputs from multiple attendance sources and locations
Lack of Timesheet Flexibility: Inability to handle project-based timesheet data
Payroll Inaccuracies: Manual dependencies led to payroll errors and compliance risks
High Operational Overhead: Increased HR supervision and overtime due to inefficient workflows
The Solution
The customer transitioned to a cloud based testing infrastructure using LambdaTest, enabling seamless access to 3000+ browsers and real mobile devices without managing physical labs. Appium based mobile test cases were executed on real Android and iOS devices, while web components were validated through cross browser testing.Parallel test execution was implemented to streamline test cycles, and centralized dashboards provided detailed logs for every run. The setup was integrated with Jenkins and Azure DevOps, and a secure tunnel allowed testing of staging and internal environments.
Value Delivered
The customer’s growing and dynamic workforce presented unique challenges in managing payroll and attendance across multiple systems and time zones. Their key concerns included:
120,000+
Activity records processed daily ensuring data integrity at scale
90%
Improvement in payroll accuracy through automation and streamlined workflows
25%
Reduction in overtime costs by improving resource utilization and reducing manual dependencies