Capitalizing on Dormant Tacit Knowledge with AI: TSUMUGU Launches 'AI-Expanded SECI Model' Using Patented Technology and 'Knowledge Coordinator' Training Service
TSUMUGU Co., Ltd. has developed an 'AI-expanded SECI model' combining patented AI technologies to convert tacit knowledge into explicit knowledge. They also launched a training service for 'Knowledge Coordinators' to implement this and build self-driving organizations.
📋 Article Processing Timeline
- 📰 Published: April 3, 2026 at 22:00
- 🔍 Collected: April 3, 2026 at 18:04
- 🤖 AI Analyzed: April 21, 2026 at 05:34 (419h 29m after Collected)
TSUMUGU Co., Ltd. (Headquarters: Minato-ku, Tokyo, CEO: Akinori Bisaiji, hereinafter TSUMUGU), which supports solving organizational issues, announced on April 3, 2026, that it has successfully developed an AI-expanded "SECI" model that serves as a new foundation for organizational transformation. Along with this, the company will fully launch a training service for "Knowledge Coordinators," next-generation leaders who will implement this advanced model in society and take on the "integration of knowledge" within organizations.
■ The Core of Innovation: Realizing the "AI-expanded SECI Model" through Patented Technology
By integrating the "SECI Model," a knowledge creation theory advocated by Ikujiro Nonaka, with the patented technologies "Episode link®" and "Tsunagaru AI®" held by Japan Communication Academy Co., Ltd. (hereinafter COMAC), we have achieved an innovation that dramatically accelerates the generation of organizational knowledge. AI structurally visualizes "on-site tacit knowledge (veterans' intuition and enthusiasm)," which was difficult with conventional organizational diagnosis and consulting, and converts it into "explicit knowledge" that anyone can use.
4 Stages of the AI-expanded SECI Model
■ "Knowledge Coordinators" Determine the Organization's Self-driving Capability
AI only outputs generalities without "high-quality input." The technical orchestration of drawing out the "raw voices," "friction," and "enthusiasm" of an organization and feeding them into an optimal AI model to generate metacognition—that is what a Knowledge Coordinator does. In this training service, we will cultivate leaders within the company who combine the following three abilities, building a self-driving organization that does not rely on external parties.
The Role of a Knowledge Coordinator
■ Comment from CEO Akinori Bisaiji
Today, mid-sized and small businesses in Japan are exposed to structural and irreversible changes in the business environment. Drastic changes in the external environment, such as labor shortages, soaring prices, and supply chain restructuring due to heightened geopolitical risks, have exceeded the level that can be overcome solely by "efficiency and cost reduction." Shifting to value creation that pursues unique strengths not found in other companies will determine survival over the next 10 years.
Recently, AI technology has garnered attention as a "catalyst that instantly structures scattered individual experiences and derives objective suggestions to support organizational decision-making." While AI is certainly a powerful tool, what changes an organization is not AI, but the "enthusiasm and context" within people. No matter how excellent a tool is, if it cannot draw out the wisdom inside people, it ends up merely organizing things superficially. That is exactly why the "Knowledge Co-
■ The Core of Innovation: Realizing the "AI-expanded SECI Model" through Patented Technology
By integrating the "SECI Model," a knowledge creation theory advocated by Ikujiro Nonaka, with the patented technologies "Episode link®" and "Tsunagaru AI®" held by Japan Communication Academy Co., Ltd. (hereinafter COMAC), we have achieved an innovation that dramatically accelerates the generation of organizational knowledge. AI structurally visualizes "on-site tacit knowledge (veterans' intuition and enthusiasm)," which was difficult with conventional organizational diagnosis and consulting, and converts it into "explicit knowledge" that anyone can use.
4 Stages of the AI-expanded SECI Model
■ "Knowledge Coordinators" Determine the Organization's Self-driving Capability
AI only outputs generalities without "high-quality input." The technical orchestration of drawing out the "raw voices," "friction," and "enthusiasm" of an organization and feeding them into an optimal AI model to generate metacognition—that is what a Knowledge Coordinator does. In this training service, we will cultivate leaders within the company who combine the following three abilities, building a self-driving organization that does not rely on external parties.
The Role of a Knowledge Coordinator
■ Comment from CEO Akinori Bisaiji
Today, mid-sized and small businesses in Japan are exposed to structural and irreversible changes in the business environment. Drastic changes in the external environment, such as labor shortages, soaring prices, and supply chain restructuring due to heightened geopolitical risks, have exceeded the level that can be overcome solely by "efficiency and cost reduction." Shifting to value creation that pursues unique strengths not found in other companies will determine survival over the next 10 years.
Recently, AI technology has garnered attention as a "catalyst that instantly structures scattered individual experiences and derives objective suggestions to support organizational decision-making." While AI is certainly a powerful tool, what changes an organization is not AI, but the "enthusiasm and context" within people. No matter how excellent a tool is, if it cannot draw out the wisdom inside people, it ends up merely organizing things superficially. That is exactly why the "Knowledge Co-