Financial ServicesSoftware Engineering

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.

Outcomes

~300Engineering days saved
40%Developer effort reduction
687,600Lines of code transformed via automation
7Applications modernized

Tools & Technologies

1AQ
Amazon Q Developer
AI coding assistant that accelerates software development through code generation, explanation, and transformation.
2AT
AWS Transform
Agentic tool that automates legacy code modernization, including analysis, refactoring, and migration to AWS.

AI Categories

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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