How Experian Accelerates .NET Modernization Using Agentic AI

Experian Data Office sought to move a set of legacy applications and infrastructure to the cloud to improve scalability and resilience while taking advantage of cloud services. The company had seven internal applications running on older .NET Frameworks. A program had been spun up to migrate to newer frameworks, which required pulling people off other high-impact projects. “As with many legacy applications, they can be expensive to maintain, time-consuming to update, and were holding back innovation. Upgrading the code manually would have taken too long,” said Anup Pancholi, Principal Director of Technology & Software Engineering at Experian. 

Modernizing the application environment would be difficult because the company had applications that required refactoring, relied on manual deployment processes, and maintained custom libraries with integration dependencies on systems like ServiceNow. Experian also decided to migrate to AWS concurrently with its .NET environment modernization for continuous up-time and a more agile environment for innovation.

Experian Data Office was able to quickly modernize seven legacy applications by moving them to .NET 8.0 using AWS Transform, the first agentic AI service for modernizing .NET applications at scale. “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. We also used Amazon Q Developer Security Scan for vulnerability detection,” said Pancholi. The project resulted in 687,600 lines of code transformation through automation and enabled migration from older versions of .NET Framework to .NET 8.0 on cloud infrastructure for performance enhancements and cross-platform capabilities.

“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.”

Anup Pancholi, Principal Director of Technology & Software Engineering at Experian

To run multiple jobs in parallel at scale, Experian Data Office used the AWS Transform’s web interface with re-authentication checkpoints for long-running jobs and built-in agentic capabilities that adapt in real time. The same agentic capabilities are available in integrated development environments (IDEs) for developers to work on specific applications that require dedicated attention. “Key business benefits we realized were better performance, improved deployment automation, consistent results across seven application upgrades, and enhanced DevOps processes. We were able to offload the manual work our engineers don't have bandwidth to do, and focus on adding value to the business,” said Pancholi. The company also wanted to move to containers for a more flexible and efficient platform for its applications, so it chose Amazon EKS (Elastic Kubernetes Service) to scale resources on demand and to strengthen security through AWS’s managed controls, network isolation, and integrated identity management.

 

“We were able to automate 687,600 lines of code transformation. It gave us a clear understanding of the limitations and manual work requirements, and the importance of proper planning and testing. The transformation project demonstrated significant success in modernizing legacy applications while providing substantial efficiency gains and enabling future strategic initiatives,” said Pancholi.