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Fujitsu's Kozuchi Multi AI Agent Framework addresses a critical deployment hurdle by enabling multi-agent systems that autonomously evolve based on business data and user feedback rather than static configurations. This approach allows enterprises to bypass extensive requirement documentation while ensuring agents remain relevant as regulations and operational needs change over time. The technology represents a significant step toward integrating self-improving AI directly into core enterprise workflows without requiring constant human re-engineering.

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Fujitsu Kozuchi Framework Evolves AI Agents With Business Data

Quantum ZeitgeistAugust 4, 20264 min read

Fujitsu has developed the Fujitsu Kozuchi Multi AI Agent Framework, a platform for developing and operating multi-agent systems specialized for enterprise business operations. MAAF incorporates self-evolving multi-AI agent technology, automatically configuring teams of AI agents from business knowledge and improving systems based on execution results and human feedback.

Fujitsu began early validation of its Kozuchi Multi AI Agent Framework on July 15, moving beyond experimental AI agent projects and addressing a critical flaw in current deployments. The framework tackles the problem of agents becoming obsolete due to changing regulations or customer needs, often stalling projects after initial proof-of-concept phases. Unlike traditional AI systems, Fujitsu’s system incorporates self-evolving technology designed to continuously improve agents based on results and feedback, expanding insights across the enterprise. This enables companies to treat AI…

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