Fujitsu has unveiled a new service that leverages multiple large language models, including Claude and GPT, to modernize legacy computer systems. The service reduces the time required for system migration by approximately 40%, addressing a critical pain point for enterprises that rely on older infrastructure and need to transition to modern platforms.
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Fujitsu has launched a new service that uses multiple AI models — including Claude and GPT — to help organizations modernize their legacy systems. The service reduces migration periods by approximately 40%.
Why it matters
Legacy system modernization is a long and expensive process for many large enterprises. By automating parts of the work with AI, Fujitsu is offering a way to speed up the transition while lowering the burden on teams, which could be valuable for businesses managing older infrastructure.
What to watch
The service's availability, pricing, and which customer segments Fujitsu plans to target first — details that will determine how quickly it gains adoption.
Fujitsu has introduced a new service designed to help enterprises modernize their legacy systems by integrating multiple AI models into the modernization process. The service leverages Claude and GPT, among other AI systems, to automate and accelerate the migration of older code and infrastructure to contemporary platforms. By doing so, Fujitsu claims the service reduces the overall migration period by approximately 40%, a significant improvement that could translate to lower consulting costs, faster time-to-value, and reduced operational disruption for customers. The multi-model approach suggests that different AI systems may be deployed for specific modernization tasks — for example, one model might excel at code analysis and refactoring while another handles documentation or testing. This service positions Fujitsu as an intermediary that can combine best-of-breed AI capabilities to solve a long-standing enterprise challenge: the burden of maintaining and upgrading aging systems while keeping business operations running.
The announcement reflects a broader industry trend in which organizations are using generative AI to tackle the costly and time-consuming problem of legacy system modernization. Enterprises often carry decades-old code and infrastructure that are expensive to maintain and difficult to update. Fujitsu's approach of combining multiple AI models suggests a strategy to draw on each model's strengths — potentially using Claude for certain analytical tasks and GPT for others — rather than relying on a single foundation model. The claimed 40% reduction in migration time directly addresses a major cost driver for enterprises, making the service commercially compelling for large corporations managing complex technology portfolios.
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