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Sony Bank, Fujitsu cut core banking build time 30% with Claude on Amazon Bedrock

Sony Bank, Fujitsu cut core banking build time 30% with Claude on Amazon Bedrock

3 Key Points

  1. What happened

    Since September 2025, Sony Bank and Fujitsu have used AI agents built around Anthropic's Claude on Amazon Bedrock in real development of Sony Bank's core banking system, not just a pilot. As of July 2026 they confirmed a 30% shorter development period and 40% fewer work hours from basic design to integration testing.

  2. Why it matters

    The AI was applied step by step across major stages of an in-production core banking system, achieving a 99% source-code generation rate in the build stage and up to 90% fewer hours for impact studies and test execution, while people kept final judgment and quality assurance.

  3. What to watch

    Whether the results hold as Fujitsu extends this development model to other financial institutions using Core Banking xBank, and as AI use widens to requirements definition, security, and operations. The companies also intend to feed the know-how into Fujitsu's Uvance for Finance AI Transformation Platform.

WHO IT HITSThis lands first on CIOs and system development teams at Japanese banks and other financial institutions that run core banking on Fujitsu's Core Banking xBank, who may now treat AI-assisted development as a standard process rather than an experiment. Fujitsu's own developers and its Uvance for Finance platform teams are also affected, as the company plans to reuse the know-how in its own products and at other financial institutions.

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Context & Analysis

Japan's financial industry has long faced a structural problem: turning a new service idea into a live offering can take months to years, and high development costs plus complex processes make it hard to react quickly to a fast-moving market. Sony Bank and Fujitsu have been working on changing how the core banking system — the foundation of a bank's operations — is developed, together with Amazon Web Services Japan.

The effort began in September 2025, and the companies describe three features that set it apart. Rather than using generative AI in a single step such as coding, they applied it across basic design, build and unit testing, and integration testing, reusing documents, source code, and test assets from one stage in the next. Rather than a proof of concept, the AI was used on a core banking system that is in live operation, across applications handling online transactions and batch processing. And the cloud-native, microservices-based structure of Fujitsu's Core Banking xBank made it possible to apply and evaluate the AI function by function, expanding its scope step by step.

The stakes appear to hinge on whether these results can be repeated beyond Sony Bank. Sony Bank says it aims to become an "AI-native bank" that keeps using AI to respond quickly to changing customer needs, while Fujitsu plans to offer the model to other financial institutions using Core Banking xBank and to reflect the findings in its Uvance for Finance AI Transformation Platform. Whether the same gains hold in those new settings — and in areas like requirements definition, security, and operations and maintenance, where the companies say they will expand next — is likely to determine how widely this approach spreads in Japanese financial system development.

FAQ
Which AI model and platform did Sony Bank and Fujitsu use?
They used AI agents built mainly around Anthropic's Claude and Claude Code, running on Amazon Bedrock, while people handled final judgment and quality assurance.
What did the AI achieve in each development stage?
In basic design, impact study hours fell by up to 90%; in detailed design, document creation hours fell by up to 40%; in the build stage, the source-code generation rate reached 99%; and in integration testing, test execution hours fell by up to 90%.
Is this only an experiment?
No. The companies say they applied the AI to real development of a core banking system in live operation, not to a proof of concept or a limited trial, and established it as part of the standard development process.
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