Torubizon to Speak at AI Seminar by Fukuoka Chamber of Commerce Digitalization Promotion Committee
Torubizon Inc. presented at an AI utilization seminar hosted by the Fukuoka Chamber of Commerce's Digitalization Promotion Committee, explaining a five-step framework for executives to implement generative AI company-wide. This initiative addresses the challenges faced by local mid-sized businesses in AI adoption, promoting practical implementation methods for organizational AI utilization.
📋 Article Processing Timeline
- 📰 Published: April 24, 2026 at 22:30
- 🔍 Collected: April 24, 2026 at 14:01
- 🤖 AI Analyzed: April 25, 2026 at 00:31 (10h 29m after Collected)
Torubizon Inc. (Headquarters: Fukuoka City, Fukuoka Prefecture; Representative Director: Mamoru Masumoto) presented at an AI utilization seminar hosted by the Fukuoka Chamber of Commerce Digitalization Promotion Committee on Wednesday, April 16, 2026. Titled "Generative AI Implementation Steps for Company-Wide Adoption for Executives," this seminar explained design methods based on task decomposition and five steps for executives to lead company-wide AI utilization.
With over 1,000 people trained in AI education, Torubizon provided concrete AI implementation methods directly applicable to business for executives of local mid-sized companies, as AI utilization is shifting from the experimental stage in some companies to being treated as a management challenge for the entire regional economy.
**Background: The Spreading Challenge in Local Mid-Sized Businesses — "Individual Use Stalls Due to Organizational Barriers"**
While the necessity of AI utilization is widely recognized, challenges such as "some employees use it but it's not shared" and "PoC (Proof of Concept) stalls, and operations don't change" are spreading among local mid-sized companies.
On the ground, some employees are already achieving results with AI, but if the organization doesn't grasp it, replication and horizontal expansion are impossible. To resolve this situation where only capable individuals progress and the organization becomes fragmented, it is essential for "executives to design" before tool introduction.
This seminar, hosted by the Fukuoka Chamber of Commerce Digitalization Promotion Committee, was held not for individual AI utilization, but as a place for executives of regional mid-sized companies to learn how to design their own company-wide AI implementation. In cooperation with the Fukuoka Chamber of Commerce, a core organization of the Fukuoka regional economy, the aim was to enlighten management decision-makers. The lecture systematically provided a practical framework for this purpose.
**Lecture Content: System of Company-Wide AI Adoption 5 Steps**
In this lecture, Torubizon's unique "Company-Wide Generative AI Adoption 5 Steps" were unveiled.
**Company-Wide AI Adoption 5 Steps**
* **Step 1: Executives "Touch and Understand"**
The president tries AI in their own work (meetings, emails, proposals, concept organization) and gains a sense of "where it is effective."
* **Step 2: Decompose Tasks with WBS**
Instead of "sales," decompose into work units like "information gathering → hypothesis formulation → proposal creation → quotation adjustment → post-order handover." AI implementation begins at this granularity.
* **Step 3: Design Tasks AI Can Handle**
Humans retain the will layer (management policy, ultimate responsibility), AI handles the execution layer (documentation, summarization, organization, first draft), and the judgment layer practices role-sharing between humans and AI designed according to conditions.
* **Step 4: Design Judgment and Governance**
Decide on three types for each task: "AI proposes, humans decide," "AI makes primary judgment, humans approve," and "AI automates, humans audit."
* **Step 5: Make it a Reproducible Operational Model**
Institutionalize individuals' excellent usage methods as organizational assets in the form of patterns, rules, templates, and case studies. Transition from relying on individuals to company-wide deployment.
**Finding "Where to Entrust" to AI with a Framework**
The lecture explained the essence of AI as "the workflow from input to output." Using a unique framework, it showed that AI excels in processes where input and output are clear.
As an example, it specifically introduced how the time required for sales representatives to create reports after business negotiations (Materials: meeting memos / Processing: organization, summarization, itemization / Output: report) can be significantly reduced with AI support.
Torubizon emphasizes "the ability to structure work"—identifying targets, clarifying materials, defining judgment rules, and fixing output formats—which precedes mere prompt writing. They leverage the design capabilities cultivated in drone business field implementation for AI utilization, and their characteristic is the ability to accompany local companies based on their real constraints (labor shortage, cost, lack of IT department).
**Three Discoveries Emerging from the Field**
Three major common challenges have emerged from discussions with executives of mid-sized companies in consulting settings.
* **Discovery 1: Increasing Executive Desire to "Understand It Myself First"**
Voices are rising stating, "Before having employees use it, I want to experience it myself seriously first." A shift is observed from the traditional stance of "leaving it to the IT department" to executives themselves learning AI to accelerate company-wide utilization.
* **Discovery 2: "Shadow AI" Barrier Where Individual Use Progresses But Organizational Deployment Stalls**
While some employees are already proficient in daily use of ChatGPT and Claude, there were many cases where their usage methods were not shared within the company and thus not converted into organizational strength. Many voices expressed, "We want to horizontally deploy methods of those who use it well, but there's no mechanism."
* **Discovery 3: "Which of Our Tasks to Start With" is the Most Important Concern**
Many specific needs regarding "how to concretize tasks" are heard, such as "I understand AI can be used, but in our company's case, what should we start with?"
With over 1,000 people trained in AI education, Torubizon provided concrete AI implementation methods directly applicable to business for executives of local mid-sized companies, as AI utilization is shifting from the experimental stage in some companies to being treated as a management challenge for the entire regional economy.
**Background: The Spreading Challenge in Local Mid-Sized Businesses — "Individual Use Stalls Due to Organizational Barriers"**
While the necessity of AI utilization is widely recognized, challenges such as "some employees use it but it's not shared" and "PoC (Proof of Concept) stalls, and operations don't change" are spreading among local mid-sized companies.
On the ground, some employees are already achieving results with AI, but if the organization doesn't grasp it, replication and horizontal expansion are impossible. To resolve this situation where only capable individuals progress and the organization becomes fragmented, it is essential for "executives to design" before tool introduction.
This seminar, hosted by the Fukuoka Chamber of Commerce Digitalization Promotion Committee, was held not for individual AI utilization, but as a place for executives of regional mid-sized companies to learn how to design their own company-wide AI implementation. In cooperation with the Fukuoka Chamber of Commerce, a core organization of the Fukuoka regional economy, the aim was to enlighten management decision-makers. The lecture systematically provided a practical framework for this purpose.
**Lecture Content: System of Company-Wide AI Adoption 5 Steps**
In this lecture, Torubizon's unique "Company-Wide Generative AI Adoption 5 Steps" were unveiled.
**Company-Wide AI Adoption 5 Steps**
* **Step 1: Executives "Touch and Understand"**
The president tries AI in their own work (meetings, emails, proposals, concept organization) and gains a sense of "where it is effective."
* **Step 2: Decompose Tasks with WBS**
Instead of "sales," decompose into work units like "information gathering → hypothesis formulation → proposal creation → quotation adjustment → post-order handover." AI implementation begins at this granularity.
* **Step 3: Design Tasks AI Can Handle**
Humans retain the will layer (management policy, ultimate responsibility), AI handles the execution layer (documentation, summarization, organization, first draft), and the judgment layer practices role-sharing between humans and AI designed according to conditions.
* **Step 4: Design Judgment and Governance**
Decide on three types for each task: "AI proposes, humans decide," "AI makes primary judgment, humans approve," and "AI automates, humans audit."
* **Step 5: Make it a Reproducible Operational Model**
Institutionalize individuals' excellent usage methods as organizational assets in the form of patterns, rules, templates, and case studies. Transition from relying on individuals to company-wide deployment.
**Finding "Where to Entrust" to AI with a Framework**
The lecture explained the essence of AI as "the workflow from input to output." Using a unique framework, it showed that AI excels in processes where input and output are clear.
As an example, it specifically introduced how the time required for sales representatives to create reports after business negotiations (Materials: meeting memos / Processing: organization, summarization, itemization / Output: report) can be significantly reduced with AI support.
Torubizon emphasizes "the ability to structure work"—identifying targets, clarifying materials, defining judgment rules, and fixing output formats—which precedes mere prompt writing. They leverage the design capabilities cultivated in drone business field implementation for AI utilization, and their characteristic is the ability to accompany local companies based on their real constraints (labor shortage, cost, lack of IT department).
**Three Discoveries Emerging from the Field**
Three major common challenges have emerged from discussions with executives of mid-sized companies in consulting settings.
* **Discovery 1: Increasing Executive Desire to "Understand It Myself First"**
Voices are rising stating, "Before having employees use it, I want to experience it myself seriously first." A shift is observed from the traditional stance of "leaving it to the IT department" to executives themselves learning AI to accelerate company-wide utilization.
* **Discovery 2: "Shadow AI" Barrier Where Individual Use Progresses But Organizational Deployment Stalls**
While some employees are already proficient in daily use of ChatGPT and Claude, there were many cases where their usage methods were not shared within the company and thus not converted into organizational strength. Many voices expressed, "We want to horizontally deploy methods of those who use it well, but there's no mechanism."
* **Discovery 3: "Which of Our Tasks to Start With" is the Most Important Concern**
Many specific needs regarding "how to concretize tasks" are heard, such as "I understand AI can be used, but in our company's case, what should we start with?"