Thomson Reuters, a global technology and AI provider for the legal, tax, and compliance industries, was running a number of older .NET Framework applications behind the scenes. These apps were still functional, but they were: - Expensive to maintain - Time-consuming to update - Slowing down innovation and competing with the product roadmap As Matt Dimich, VP of Platform Engineering Enablement at Thomson Reuters, put it, the team was spending too much time manually upgrading old code. Existing tools from other cloud providers helped, but they weren’t designed to modernize at scale or take advantage of generative AI. By modernizing, Thomson Reuters wanted to: - Reduce the cost and effort of maintaining legacy .NET applications - Free engineering teams to focus on new features and AI-driven capabilities - Move to more flexible, cross-platform technologies - Address technical debt and security risks tied to unsupported platforms and language versions In short, modernization was a way to remove friction from engineering workflows so the company could keep building the next generation of professional-grade AI solutions.

AWS Transform is used by Thomson Reuters as an AI-powered, agentic experience specifically designed to refactor and modernize large .NET applications at scale. Here’s how it fits into their workflow:

• End-to-end modernization support: AI-powered agents help across the full lifecycle: asset discovery, codebase analysis, planning, code refactoring, and execution.
• High-volume code transformation: The teams are able to modernize about 1.5 million lines of code every month, which represents a 4x increase in velocity compared to previous approaches.
• Parallel execution: Multiple modernization jobs can run in parallel via a web interface and IDE integrations, with re-authentication checkpoints for long-running jobs.
• Flexible developer experience: The same agentic capabilities are available both in the browser and inside developers’ IDEs, so teams can handle broad, parallel modernization as well as applications that need more focused attention.
• Security and platform updates: AWS Transform helps uncover and fix security vulnerabilities that stem from unsupported language versions and platforms.

According to Thomson Reuters, AWS Transform felt like an extension of their engineering team—constantly learning, optimizing, and helping them move faster as they reimagine how .NET applications are built and maintained.

By adopting AWS Transform for .NET modernization, Thomson Reuters reports several concrete outcomes:

• Cost reduction: By moving from Windows to Linux, they achieved about 30% lower costs for the modernized applications.
• Faster transformation: Application transformation timelines dropped from months to a single two-week sprint in many cases.
• Higher modernization throughput: The team now modernizes around 1.5 million lines of code per month, a 4x boost in velocity.
• Lower technical debt: By moving from .NET Framework to cross-platform .NET, they reduced technical debt by about 50%.

Beyond the numbers, this shift has helped Thomson Reuters: - Remove friction from engineering workflows - Keep pace with new opportunities in generative AI and cross-platform development - Operate more like a fast-moving startup while maintaining the reliability expected from an established technology and information provider In practice, AWS Transform has helped Thomson Reuters rethink how they approach legacy modernization, turning it from a slow, manual effort into a scalable, AI-assisted process.