New automated solution refactors legacy applications at speed, unlocking agility and business value
Capgemini has unveiled a next-generation mainframe modernization platform that uses generative and agentic AI to transform legacy applications into agile, cloud-compatible systems—at unprecedented speed and accuracy.
The offering automates the conversion of outdated mainframe codebases, such as COBOL, by embedding generative AI assistants to analyze code, extract business rules, and refactor them into modern architectures. Agentic AI drives orchestration and testing, reducing error rates and accelerating delivery timelines. The result: lower costs, improved data quality, and a clear path to mainframe exit.
“Many enterprises tried rehosting but remained tied to the mainframe,” said Franck Greverie, Chief Portfolio & Technology Officer at Capgemini. “Our new approach enables a full application refactor—quickly and intelligently—backed by our expertise in AI, industry regulations, and complex transformation.”
“Our AI-powered solution enables organizations to break free from legacy mainframes—faster, smarter, and with greater cost efficiency.”
— Franck Greverie, Chief Portfolio & Technology Officer, Capgemini
Capgemini has already delivered impact for major clients. A U.S.-based life insurer leveraged the solution to migrate to a modern Policy Admin System, completing the shift faster and with greater precision than traditional methods.
The platform builds on Capgemini’s leadership in application modernization and AI, recently recognized in The Forrester Wave™: Application Modernization and Multicloud Managed Services, Q1 2025, where it was named a Leader.
For organizations seeking to shed legacy limitations and fast-track digital transformation, Capgemini’s AI-led platform offers a future-ready foundation.
