How Thomson Reuters Turbocharged .NET Modernization with AWS Transform
Thomson ReutersAWS TransformThomson Reuters used AWS Transform, an agentic AI tool for modernizing .NET applications at scale, to replace manual upgrades of legacy .NET Framework applications. AI-powered agents handled asset discovery, codebase analysis, planning, code refactoring and execution. The company modernized 1.5 million lines of code per month, a 4x boost in velocity, moved from Windows to Linux for 30% lower costs, cut application transformation time from months to a two-week sprint, and reduced technical debt by 50% by moving from .NET Framework to cross-platform .NET. AWS Transform also uncovered and fixed security vulnerabilities caused by unsupported language versions and platforms.
Overview
Thomson Reuters used AWS Transform, an agentic AI tool for modernizing .NET applications at scale, to replace manual upgrades of legacy .NET Framework applications. AI-powered agents handled asset discovery, codebase analysis, planning, code refactoring and execution. The company modernized 1.5 million lines of code per month, a 4x boost in velocity, moved from Windows to Linux for 30% lower costs, cut application transformation time from months to a two-week sprint, and reduced technical debt by 50% by moving from .NET Framework to cross-platform .NET. AWS Transform also uncovered and fixed security vulnerabilities caused by unsupported language versions and platforms.
The challenge
Thomson Reuters had older .NET Framework apps that 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."
The solution
Thomson Reuters used AWS Transform, the first agentic AI experience for modernizing .NET applications at scale, to replace manual upgrades of legacy .NET Framework applications. AI-powered agents handled asset discovery, codebase analysis, planning, code refactoring and execution, with teams able to run multiple jobs in parallel using both the web interface and integrated development environments.
Reported business value
Using AWS Transform, Thomson Reuters modernized 1.5 million lines of code every month -- a 4x boost in velocity -- moved from Windows to Linux for 30% lower costs, cut application transformation time from months to just one two-week sprint, and reduced technical debt by 50% by moving from .NET Framework to cross-platform .NET. AWS Transform also uncovers and fixes security vulnerabilities caused by unsupported language versions and platforms.
Sources
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