This case study explores a project delivered by KMS Technology, a company that merged with Addepto in December 2025, for a multi-billion-dollar risk management company and market leader in advanced analytics.
The client relied on its flagship product as the primary driver of revenue and competitive advantage. However, legacy systems, manual testing, and slow delivery cycles were limiting scalability, increasing costs, and delaying innovation.
Partnering with KMS Technology, the company set out to modernize its development processes, introduce automation, and migrate to the cloud—enabling faster delivery, higher product quality, and sustainable revenue growth.
This case study presents a project delivered by KMS Technology (now part of Addepto, following the December 2025 merger) for a leading global risk management company.
Facing limitations from legacy systems and slow delivery processes, the client needed to modernize its core product to improve quality, accelerate releases, and support continued revenue growth.
Limited regression testing coverage led to defects leaking into production, costing the company $1.5–$3M annually.
Manual testing and outdated workflows slowed delivery, reduced productivity, and contributed to high employee attrition.
Existing processes and infrastructure prevented the company from scaling product development to meet business goals.
Existing processes and infrastructure prevented the company from scaling product development to meet business goals.
The goal was to transform the client’s development ecosystem into a scalable, high-performance delivery engine.
KMS Technology helped transform the client’s core product into a high-velocity, revenue-generating platform.
Key results:
The transformation significantly improved product quality, reduced operational costs, and enabled faster innovation at scale.
Addepto, together with KMS Technology (following the December 2025 merger), supports digital transformation for leading healthcare and life sciences organizations by delivering advanced quality engineering, automation, and data solutions.
Technologies and services used in this project include:
AI-Native Product Engineering Services
Quality Engineering & Test Automation for the AI Era
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