Tekken Corporation Develops "Knowledge Transfer Function" Utilizing AI Chat
Key facts
- Tekken Corporation Develops "Knowledge Transfer Function" Utilizing AI Chat
- Tekken Corporation, in collaboration with SoftBank Corporation, has developed and released the "Tekken AI-Chat Knowledge Transfer Function" to formalize the know-how of veteran employees regarding design change proposals using AI. This aims to improve the efficiency of training junior employees and support decision-making in safety and health management.
- Source: PR Times
- Date: June 12, 2026
Direct answer
Tekken Corporation, in collaboration with SoftBank Corporation, has developed and released the "Tekken AI-Chat Knowledge Transfer Function" to formalize the know-how of veteran employees regarding design change proposals using AI. This aims to improve the efficiency of training junior employees and support decision-making in safety and health management.
- Citation
- Tekken Corporation Develops "Knowledge Transfer Function" Utilizing AI Chat (June 12, 2026), PR Times
- Source
- PR Times
- Date
- June 12, 2026
Tekken Corporation, in collaboration with SoftBank Corporation, has developed and released the "Tekken AI-Chat Knowledge Transfer Function" to formalize the know-how of veteran employees regarding design change proposals using AI. This aims to improve the efficiency of training junior employees and support decision-making in safety and health management.
📋 Article Processing Timeline
- 📰 Published: June 12, 2026 at 18:03
- 🔍 Collected: June 12, 2026 at 09:21
- 🤖 AI Analyzed: June 12, 2026 at 18:15 (8h 54m after Collected)
1. Purpose of Developing the Knowledge Transfer Function
At our company, know-how regarding proposals for appropriate construction design changes, as well as knowledge related to on-site safety and health, has tended to be concentrated among a few veteran employees, accumulating as so-called "tacit knowledge."
To reliably pass this knowledge on to the next generation and ensure the sustainable development of our business, it is essential to establish a system for organizing and sharing tacit knowledge as systematic "explicit knowledge."
Therefore, we have developed the "Knowledge Transfer Function" which incorporates information such as past consultation documents, interviews with veteran employees, and various construction specifications into our dedicated environment, "Tekken AI-Chat," and uses AI to formalize this knowledge. This function aims to maximize project value and improve the overall technical capabilities of the organization.
2. Main Use Cases of the Knowledge Transfer Function
Streamlining Design Change Consultations and Transferring Skills to Junior Staff
Proposing design changes requires a wide range of considerations and document creation, including organizing technical issues, selecting construction methods based on site conditions, and explaining the validity by comparing with other methods. Consequently, employees with less experience have faced difficulties in handling these tasks independently.
By utilizing this function, employees can quickly address technical questions and receive support in creating draft proposals based on past consultation documents. This is expected to accelerate the development of junior employees, improve operational efficiency, and reduce working hours.
Supporting Appropriate Decision-Making in Safety and Health Management
Similar to design changes, on-site safety and health management often relies on the experience of veteran employees. Furthermore, appropriate facility and environmental maintenance based on relevant laws and various standards require advanced knowledge and judgment.
This function is equipped with a knowledge base for safety and health, supporting proposals for appropriate measures tailored to site conditions. This will achieve both improved safety and operational efficiency.
3. Future Outlook
Enhancing the Construction Plan Creation Support Function
Among site operations, the creation of construction plans is one of the most demanding tasks. In the future, we plan to develop a function that automatically generates draft construction plans suitable for project conditions based on diverse data.
Advancing Decision-Making Support Utilizing the Latest Internet Information
Currently, "Tekken AI-Chat" is designed not to incorporate internet information from a security perspective. However, this poses challenges in responding to rapidly changing fields such as technological trends and market environments.
In the future, by appropriately incorporating external information and combining it with our unique knowledge, we aim to achieve faster and more accurate decision-making support, further enhancing project value.
Achieving Comprehensive Judgment Utilizing Diverse Internal Data
In addition to knowledge regarding design changes, we will promote the utilization of various data held by our company, such as technical data and past project information. This will enable the fusion of cross-domain knowledge and further enhance decision-making.
FAQ
Who can use this AI function?
It is primarily released for internal use within Tekken Corporation, intended for employees involved in design change proposals and safety/health management.
What kind of data does the AI learn from?
Internal information such as past consultation documents, interview content from veteran employees, and various construction specifications are incorporated.
What impact will this technology have on the construction industry?
It can efficiently transfer the knowledge of veteran employees to the next generation, contribute to the training of junior employees and improvement of work quality, potentially leading to enhanced technical capabilities across the industry.
What specifically is SoftBank's cooperation?
The press release mentions "with the cooperation of," but details regarding specific technological contributions or role divisions are not explicitly stated.
Is there a possibility of external release in the future?
While currently for internal use, future plans include utilizing external information and integrating diverse data, suggesting a potential for external release.