How Experian Saved 300 Engineering Days Using AWS Agentic AI for .NET Modernization
Experian’s Data Office in the UK manages mission-critical consumer and business information infrastructure for one of the world’s largest credit bureaus. Facing seven legacy .NET Framework applications that required manual modernization, the team used AWS Transform — an agentic AI service for .NET migration — to automate code transformation and wave planning. The result: approximately 300 engineering days saved, 687,600 lines of code transformed, and 40% reduction in developer effort across seven applications.
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Challenge
Seven legacy .NET Framework applications required migration to modern infrastructure, but manual refactoring would have consumed hundreds of engineering days and required pulling teams off strategic innovation projects.
Solution
Experian used AWS Transform, an agentic AI service, to automate .NET migration wave planning, dependency mapping, and 687,600 lines of code transformation, with Amazon Q Developer Security Scan for vulnerability detection and Amazon EKS for containerized deployment.
Full Story
Legacy applications are a tax on engineering capacity. At Experian’s Data Office in the UK, that tax had become difficult to ignore: seven internal applications running on older .NET Frameworks needed migration to modern cloud-native infrastructure, but manually refactoring those applications would have consumed months of engineering time that was already committed to innovation projects.
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