Fujitsu Develops Self-Evolving Multi-AI Agent Technology that Learns While Working

Fujitsu has developed 'self-evolving multi-AI agent technology,' where multiple AI agents work as a team to execute tasks and autonomously learn from various changes, including daily execution results, human feedback, policy revisions, and specification changes.

In business operations, legal revisions and specification updates occur continuously, and decision-making criteria—such as which information to reference—have historically relied on the tacit knowledge of experts. With conventional AI, professional intervention was essential to organize the reasons for failures and reflect improvements. This new technology enables AI agents to organize their own successes and failures, verify their quality and safety, and learn only from effective improvements.

Evaluation using the domain-specific LLM 'Takane' showed an average accuracy improvement of 28 points in fields such as manufacturing, healthcare, finance, and government. In the healthcare sector, for example, it demonstrated high effectiveness in extracting information from medical records. This allows companies to autonomously optimize AI according to business changes without relying heavily on AI specialists. Furthermore, under the OneFujitsu initiative, the company is accelerating its global data-driven management.