How Experian Uses AWS Transform to Save 300 Engineering Days on .NET Modernization
Experian's Data Office used AWS Transform, an agentic AI service for application modernization, to upgrade seven legacy .NET Framework applications to .NET 8.0. The AI-driven approach transformed 687,600 lines of code automatically, saving approximately 300 engineering days — a 40% reduction in developer effort — and freed teams to focus on higher-impact initiatives rather than manual code upgrades.
Impact
~300
Engineering days saved
~40%
Reduction in developer effort
687,600
Lines of code transformed
Challenge
Experian's Data Office maintained seven legacy .NET Framework applications that required modernization, but manual upgrades would have consumed hundreds of engineering days and pulled developers away from high-impact work — making a traditional approach impractical at the organization's scale.
Solution
Experian used AWS Transform to automate the .NET Framework to .NET 8.0 migration across seven applications, with Amazon Q Developer Security Scan for vulnerability detection and Amazon EKS for container orchestration — transforming 687,600 lines of code automatically with ~40% less developer effort than a manual approach.
Tools & Technologies
Amazon Q DeveloperWhat Leaders Say
“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
Experian is a global data and technology company whose products touch financial services, healthcare, automotive, insurance, and agricultural finance. Its Data Office maintained seven legacy applications built on older .NET Frameworks — a technical debt accumulation that was increasingly difficult to sustain. The applications required refactoring, depended on manual deployment processes, and carried custom libraries with complex integration dependencies. A conventional manual upgrade approach would have consumed enormous engineering time and pulled developers away from high-impact product and platform work.
The opportunity was to apply agentic AI to automate the bulk of the migration work. AWS Transform is purpose-built for this use case: it analyzes the existing .NET codebase, generates transformed code targeting the modern framework, and handles the mechanical work of compatibility migration at scale. Amazon Q Developer Security Scan was layered on to detect and surface vulnerability issues in the transformed code. Amazon EKS provided the container orchestration layer for the modernized applications.
Experian's Data Office ran AWS Transform across all seven applications. The result: 687,600 lines of code transformed through automation. Developer effort dropped approximately 40% compared to a manual approach. Across all seven projects, approximately 300 engineering days were saved — time redirected toward higher-value work. Deployment automation improved and DevOps processes were enhanced as part of the modernization.
For Anup Pancholi, Principal Director of Technology & Software Engineering, the project served a dual purpose: it delivered the technical outcome of moving off legacy .NET while simultaneously embedding agentic AI into how the engineering organization operates — making it a proof point for a broader shift in how software work gets done at Experian.