IrelandFinance and insurance2025 – ongoingExperian
Agentic AI for internal .NET application upgrades
Experian reduced developer effort by about 40% across its .NET upgrades using agentic AI
Problem
Experian's UK Data Office needed to upgrade legacy applications. Manual refactoring diverted engineers from other projects, while custom libraries complicated the work.
Approach
The team used AWS Transform to upgrade internal applications to .NET 8.0. It ran parallel jobs through the service's web interface. Engineers still needed planning, testing, and manual work.
Results
Takeaway
Experian attributed the reduction to automated code transformation while retaining engineering work for testing and application-specific requirements.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- AI agentsGenerative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
AWS quoted Experian's engineering director reporting about 40% less developer effort across 7 application upgrades using AWS Transform. The account also described remaining manual work and testing requirements. The page carries no date; the Internet Archive first saved it on October 17, 2025.
Full details are in the original sources.
