Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Experian · AWS
Vendor-reportedBanking & financeUnited KingdomIn productionEnterpriseAI agents
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by aws.amazon.com (vendor self-report). Checked against the source page on 2026-09-06. 3 of 3 figures below appear on that page word for word.
The problem
Experian Data Office needed to modernize seven internal legacy applications running on older .NET Frameworks to improve scalability and resilience, which was time-consuming and held back innovation.
What was deployed
- Vendor
- AWS
- Products
- AWS Transform for .NET, Amazon EKS
- Technique
- AI agents
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- 687,600 lines of code
- Scale
- seven legacy applications
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
circa 40%developer effort reduction
“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.”
Quoted word for word from the source · round percentage, no baseline given
300engineering days saved
“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.”
Quoted word for word from the source
687,600lines of code transformed
“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.”
Quoted word for word from the source
“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.”
Difficulties and limits
- Applications required refactoring, relied on manual deployment processes, and maintained custom libraries with integration dependencies on systems like ServiceNow.
- The prior manual migration approach required pulling engineers off other high-impact projects.
- The project gave the team a clear understanding of the limitations and manual work requirements involved, and the importance of proper planning and testing.
Sources
- aws.amazon.com — vendor self-report
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