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.
Impact
~300
Engineering days saved
40%
Developer effort reduction
687,600
Lines of code transformed via automation
7
Applications modernized
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.
Tools & Technologies
Amazon Q DeveloperWhat Leaders Say
“We achieved a remarkable circa 40% of developer effort reduction across seven .NET framework upgrade projects using AWS Transform, demonstrating significant efficiency gains in our modernization journey.”
“Using AWS Transform for .NET, we saved approximately 300 engineering days across the 7 projects, which supported one of our key OKRs to embed Agentic AI and automation into our teams.”
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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.
The complexity was substantial. The applications relied on custom libraries with deep integration dependencies on systems like ServiceNow, required refactoring rather than lift-and-shift treatment, and depended on manual deployment processes that had accumulated technical debt over years. Pulling experienced engineers off higher-value work to run a migration felt like the wrong trade-off. The team needed a way to accelerate the mechanical work of code transformation without sacrificing quality or security.
AWS Transform, the company’s agentic AI service for .NET modernization, addressed this directly. The tool analyzed the existing codebase, identified dependencies, planned migration waves, and automated code transformation from older .NET Framework versions to .NET 8.0 — all without manual intervention for the bulk of the work. Amazon Q Developer Security Scan ran alongside the transformation to catch vulnerabilities. The parallel job execution capability in AWS Transform’s web interface allowed Experian to modernize multiple applications simultaneously.
The results were measurable at both the project and code level. Across seven applications, developer effort dropped approximately 40%. The total transformation covered 687,600 lines of code. Approximately 300 engineering days were saved — time that went directly back into higher-impact initiatives. Performance improved on the modernized .NET 8.0 platform, and deployment automation became consistent across all seven applications.
Experian also migrated to Amazon EKS for container orchestration, providing flexible scaling and managed security controls. The .NET modernization program is now serving as a model for how the Experian Data Office approaches future technical debt reduction at scale.