Financial ServicesSoftware Engineering

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.

Outcomes

~300Engineering days saved
~40%Reduction in developer effort
687,600Lines of code transformed

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

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.

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.

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