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AWS Transform Slashes Licensing Fees with AI-Powered Modernization
3 Dec
Summary
- AWS Transform uses agentic AI to modernize legacy systems, moving off Windows.
- The service reportedly reduces operating costs by up to 70% for users.
- Transform can modernize millions of lines of code monthly, vastly speeding up projects.

AWS Transform has significantly enhanced its legacy modernization capabilities with the integration of agentic AI. This advancement allows businesses to accelerate large-scale transformation projects, particularly targeting older Windows environments. The service analyzes server stacks and creates plans to migrate from costly proprietary solutions like Microsoft SQL Server to open-source alternatives, aiming to cut operating costs by up to 70% and improve overall security and performance.
Numerous companies are already leveraging AWS Transform for substantial modernization efforts. Teamfront, for instance, modernized 800,000 lines of code in two weeks, while Thomson Reuters is migrating 1.5 million lines of code monthly, achieving a 30% cost reduction. The enhanced service also offers specialized agents for mainframe modernization and VMware migration, alongside a composability initiative that allows partners to integrate their tools for customized workflows.
This AI-driven approach addresses the pervasive issue of technical debt, which accounts for a significant portion of IT teams' time and costs. By automating and accelerating the modernization process, AWS Transform aims to free up developer talent for innovation rather than routine maintenance. While concerns about job impact exist, the goal is to enable greater productivity and strategic growth for businesses.




