Automating Clinical Payment Product Suite to Save 2,600+ Manual Testing Hours
This case study explores a project delivered by KMS Technology, a company that merged with Addepto in December 2025 for Greenphire—a leading provider of clinical payment and communication solutions in the healthcare and life sciences sector.
As the company scaled globally, its growing product suite and expanding user base introduced operational complexity, including increasing support demands, manual testing overhead, and the need for more advanced data capabilities.
The central challenge was to maintain product reliability and accelerate innovation while managing a high volume of support tickets, ensuring quality through efficient testing, and enabling scalable data processing for global clinical operations.
To address this, KMS Technology implemented a comprehensive support, automation, and data framework designed to streamline maintenance, reduce manual effort, and enhance system performance. By introducing automated testing, structured support processes, and robust data engineering solutions, the engagement transformed Greenphire’s operations into a more scalable and efficient ecosystem—allowing internal teams to focus on innovation while ensuring consistent quality and global readiness.
Meet Our Client
Greenphire (now merged with Suvoda) is a leading provider of clinical payment and communication solutions used globally to streamline trials, reduce risk, and improve compliance and patient engagement. As the company expanded internationally, it needed to maintain operational reliability while continuing to innovate and scale its product suite.
Case Study Shortcut
Challenge
Growing Support Backlog
A continuous influx of support tickets and product defects was consuming significant engineering resources. Senior developers increasingly focused on maintenance and troubleshooting rather than innovation.
Slowing Product Innovation
With engineering teams tied up in production support, the development of new product features and improvements for Greenphire’s clinical payment suite began to slow down.
Limited Scalability
The existing operational structure lacked the capacity and specialized data capabilities required to support Greenphire’s rapid growth and expanding client base.
Increasing Demand for Data Capabilities
Greenphire needed to accelerate development of data infrastructure—including data warehousing, ETL pipelines, and business intelligence—to unlock deeper insights for clients and enhance reporting capabilities.
Goal
Greenphire partnered with KMS Technology to strengthen its operational infrastructure and support capabilities while freeing internal teams to focus on innovation.
- Reduce engineering workload related to support and maintenance
- Automate testing processes to improve product quality and release speed
- Strengthen data infrastructure and reporting capabilities
- Enable the platform to scale globally with multilingual support
- Improve operational efficiency across the product suite
Outcome
Through a multi-year collaboration, KMS Technology helped Greenphire transform its operational model and significantly increase efficiency.
Key results include:
- 2,600+ manual testing hours saved annually through automation
- 54 hours of manual testing eliminated per week
- 109 automated smoke and regression tests implemented for ClinCard
- 97 automated smoke and end-to-end tests implemented for eClinicalGPS
- 16 global languages supported, enabling international expansion
The improved testing framework and streamlined support model allowed Greenphire’s internal engineering teams to focus on innovation and product development.
In addition, strengthened data infrastructure improved reporting capabilities and allowed Greenphire to leverage large volumes of clinical trial data to provide greater insights for clients.
Before
- Growing backlog of support tickets
- High volume of manual testing
- Engineering resources focused on maintenance
- Limited global language support
- Fragmented data capabilities
After
- Automated testing framework reducing manual work
- Scalable support and maintenance operations
- Engineering teams focused on innovation
- Expanded global product availability with 16 languages
- Enhanced data infrastructure and reporting capabilities
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Case Study Details
Approach
Automation of Testing Processes
- Integration of automated testing environments with Jenkins and containerized code bases
- Automated smoke, regression, and end-to-end testing scripts
- GitHub-based version control and deployment pipelines for managing code and automated processes
Support and Maintenance Optimization
- Establishing a structured database for managing test cases Implementing JIRA to track backlog, requirements, design documentation, and
- Adding SoftServe features to manage end-user issues independently of the engineering team
- Providing ongoing support for ClinCard and eClinicalGPS, accelerating releases and reducing post-deployment defects
Data Infrastructure and Analytics
- Data warehousing solutions
- ETL pipelines and data integrations
- Business intelligence systems
- Enhanced reporting tools for clinical trial insights
