Skip to main content

How Thomson Reuters Turbocharged .NET Modernization with AWS Transform 

AI-powered .NET modernization tool helps Thomson Reuters cut costs by 30% while boosting transformation speed 4x

Overview

At Thomson Reuters, innovation isn’t a one-time transformation — it’s a constant state of motion. As a global tech and AI leader powering the legal, tax, and compliance industries, Thomson Reuters is always looking for smarter, faster ways to build. That means staying ahead of the curve — and teaming up with partners like AWS to push what’s possible. 

 One recent win? Modernizing .NET applications using AWS Transform, the first agentic AI experience for modernizing .NET applications at scale.  

About Thomson Reuters

Thomson Reuters is a leading source of information—including one of the world’s most trusted news organizations—for the world’s businesses and professionals.

Challenge | Legacy Code Slowing Down Big Ideas 

Like any company with complex infrastructure, Thomson Reuters had older .NET Framework apps running behind the scenes. They were functional — but expensive to maintain, time-consuming to update, and holding back innovation. “We were spending too much time upgrading old code manually,” said Matt Dimich, VP, Platform Engineering Enablement at Thomson Reuters. “It was slowing us down and competing with our roadmap. Other cloud providers tooling helped — but wasn’t designed to modernize at scale or harness generative AI. We needed a leap, not just an incremental fix”. 

Solution | Generative AI That Moves at the Speed of Thomson Reuters

After exploring the options, Thomson Reuters landed on AWS Transform — a tool purpose-built to help tech teams refactor and modernize large legacy systems at scale using the power of Agentic AI. “It didn’t just modernize our .NET applications — it accelerated everything,” says Dimich. For large-scale porting of .NET applications, AWS Transform uses AI-powered agents to carry out complex tasks across the asset discovery, codebase analysis, planning, code refactoring, and execution phases. Using AWS Transform, the company was able to: 

 

  • Modernize 1.5 million lines of code every month — a 4x boost in velocity  
  • Move from Windows to Linux for better performance and 30% lower costs  
  • Cut application transformation time from months to just one two-week sprint 
  • Reduce technical debt by 50% by moving from .NET framework to cross-platform .NET

 

Best of all? The teams could run multiple jobs in parallel, using both the web interface and integrated development environments (IDEs), with re-authentication checkpoints for long-running jobs and built-in agentic capabilities that adapt in real time.  The web experience enables consistent, parallel modernization of hundreds of .NET applications at scale, while the same agentic capabilities are available in IDEs for developers working on applications that require dedicated attention. AWS Transform also uncovers and fixes security vulnerabilities caused by unsupported language versions and platforms.

“AWS Transform felt like an extension of our team — constantly learning, optimizing, and helping us move faster”

Matt Dimich, VP, Platform Engineering Enablement at Thomson Reuters

Outcome | Innovation Doesn’t Stand Still — and Neither Does Thomson Reuters 

This wasn’t just about updating old code, it was about removing friction from the company’s engineering workflows so it can keep building the future of professional-grade AI. “Whether it’s generative AI, cross-platform development, or streamlining operations — we’re here to adapt fast and deliver smarter solutions to our customers. With partners like AWS, we’re proving that even the most trusted names in tech can move like a startup” concluded Dimich.