Release of 'AI Utilization Diagnosis' Visualizing an Annual Loss of 140 Million Yen. ~Mapping the Organization's 'Blind Spots' Using the AX Indicator Advocated by Prof. Matsuo of Tokyo University~
AnataAI released the 'AI Utilization Diagnosis' to visualize companies' AI utilization levels and financial losses based on the 'AX5 Steps' framework. It aims to shift businesses from mere tool adoption to fundamental process innovation, offering a strategic roadmap for productivity.
📋 Article Processing Timeline
- 📰 Published: April 14, 2026 at 19:10
- 🔍 Collected: April 14, 2026 at 10:31
- 🤖 AI Analyzed: April 19, 2026 at 18:49 (128h 17m after Collected)
*The image is a sample of the diagnostic report.
'It has been several years since the release of generative AI. However, productivity in the field has not improved.' To break through the stagnation of such sales organizations, AnataAI Co., Ltd. has released the 'AI Utilization Diagnosis,' which visualizes the current state of AI utilization in terms of 'monetary value' and 'various indicators'.
Based on the 'AX5 Steps' advocated by Professor Yutaka Matsuo of the University of Tokyo, it visualizes where the current organizational level sits from 'AX1' to 'AX5', and provides suggestions on what should be done in specific daily tasks on the ground. In one company, staying at 'AX1' was calculated to cause an annual loss of approximately 140 million yen (assuming a scale of 100 employees). In addition, it detects risks in AI utilization and helps make decisions on the priority of improvement activities as an organization.
Why is a 'Blueprint' Needed Now?
The reason AI introduction does not lead to results in many companies is that they do not know where to use AI in their operations. Furthermore, even if time is reduced through AI utilization, there is an organizational lack of will regarding 'what to use the saved time for?'. This service visualizes the current AI utilization score strictly, such as how many points out of 100, and provides a 'strategy map' for moving forward to organizational AI utilization.
Applying Tokyo University Prof. Matsuo's 'AX5 Steps' to Practical Business
This diagnosis applies the 'AI Transformation (AX) 5 Steps for Achieving GDP Growth', advocated by leading AI researcher Prof. Yutaka Matsuo of the University of Tokyo and prominently featured in the Nihon Keizai Shimbun (published April 3, 2026), into diagnostic items at the practical sales level.
AX1: Generative AI Introduction
AX2: Data Integration and Linkage
AX3: Business Process Innovation
AX4: Proprietary AI Development
AX5: Advanced AI Development
Professor Yutaka Matsuo announced a hopeful estimate that 'if the overall AI adoption rate in Japan reaches 50%, the GDP growth rate can be boosted by up to 1.6%'.
While many SMEs remain at 'AX1 (Introduction)', this diagnosis presents specific 'priority actions' to proceed to the next phase.
Small and medium-sized enterprises in particular should aim early for 'AX3 (Business Process Innovation)', which involves reviewing how existing work is done without spending money. We are convinced that this will result in raising the baseline of AI utilization across Japan as a whole.
Roadmap to the 'Ideal State' Drawn by This Diagnostic Report
Evaluation by Diagnostic Item: Clearly evaluates the organization's 'AI skills', 'security risks', and other items on an A to E scale.
Visualization of Opportunity Loss: Calculates the financial loss due to non-utilization of AI. It also visualizes insights for rebuilding business workflows.
Resource Allocation Design for Core Business: Creates a report based on the current situation of each company on how best to allocate the time saved to core tasks such as improving the order win rate.
Presentation of Specific 'Priority Actions': Clarifies the 'next moves' to elevate the organizational level from AX1, such as conducting AI skill training, building a data infrastructure, and forming a project team.
Campaign Overview
Contents: Creation of an AI utilization diagnosis report and improvement consulting
Price: Normally 100,000 yen -> Special price 10,000 yen (excluding tax)
Target: Limited to 10 companies (To ensure quality, as it includes individual analysis by an AI consultant, the number of companies is limited)
Application Method: Please inquire first from https://anataai.com/contact/ .
Message from the Representative
I believe that the utilization of AI is the greatest opportunity to improve Japan's productivity. However, the reality on the ground is that in many SMEs, AI utilization is still low or remains dependent on individual skills. Moreover, even when utilized, the reality is that it is not being applied to 'core operations' directly linked to sales. Which core tasks should the saved time be reallocated to, and how should the P&L (profit and loss) be improved? That requires an 'ideal state' and 'will' as an organization.
We provide not just a diagnostic report, but a 'strategy map' to articulate the organization's will, and we provide hands-on support through to specific improvement activities.
Company Profile
Company Name: AnataAI Co., Ltd.
Headquarters: 6F Nishi-Shinjuku Mizuma Bldg, 3-3-13 Nishi-Shinjuku, Shinjuku-ku, Tokyo 160-0023
Representative: Yoshiki Murata, Representative Director
Established: March 5, 2026
Business Content: Generative AI corporate training business, Generative AI consulting business
Website: https:
'It has been several years since the release of generative AI. However, productivity in the field has not improved.' To break through the stagnation of such sales organizations, AnataAI Co., Ltd. has released the 'AI Utilization Diagnosis,' which visualizes the current state of AI utilization in terms of 'monetary value' and 'various indicators'.
Based on the 'AX5 Steps' advocated by Professor Yutaka Matsuo of the University of Tokyo, it visualizes where the current organizational level sits from 'AX1' to 'AX5', and provides suggestions on what should be done in specific daily tasks on the ground. In one company, staying at 'AX1' was calculated to cause an annual loss of approximately 140 million yen (assuming a scale of 100 employees). In addition, it detects risks in AI utilization and helps make decisions on the priority of improvement activities as an organization.
Why is a 'Blueprint' Needed Now?
The reason AI introduction does not lead to results in many companies is that they do not know where to use AI in their operations. Furthermore, even if time is reduced through AI utilization, there is an organizational lack of will regarding 'what to use the saved time for?'. This service visualizes the current AI utilization score strictly, such as how many points out of 100, and provides a 'strategy map' for moving forward to organizational AI utilization.
Applying Tokyo University Prof. Matsuo's 'AX5 Steps' to Practical Business
This diagnosis applies the 'AI Transformation (AX) 5 Steps for Achieving GDP Growth', advocated by leading AI researcher Prof. Yutaka Matsuo of the University of Tokyo and prominently featured in the Nihon Keizai Shimbun (published April 3, 2026), into diagnostic items at the practical sales level.
AX1: Generative AI Introduction
AX2: Data Integration and Linkage
AX3: Business Process Innovation
AX4: Proprietary AI Development
AX5: Advanced AI Development
Professor Yutaka Matsuo announced a hopeful estimate that 'if the overall AI adoption rate in Japan reaches 50%, the GDP growth rate can be boosted by up to 1.6%'.
While many SMEs remain at 'AX1 (Introduction)', this diagnosis presents specific 'priority actions' to proceed to the next phase.
Small and medium-sized enterprises in particular should aim early for 'AX3 (Business Process Innovation)', which involves reviewing how existing work is done without spending money. We are convinced that this will result in raising the baseline of AI utilization across Japan as a whole.
Roadmap to the 'Ideal State' Drawn by This Diagnostic Report
Evaluation by Diagnostic Item: Clearly evaluates the organization's 'AI skills', 'security risks', and other items on an A to E scale.
Visualization of Opportunity Loss: Calculates the financial loss due to non-utilization of AI. It also visualizes insights for rebuilding business workflows.
Resource Allocation Design for Core Business: Creates a report based on the current situation of each company on how best to allocate the time saved to core tasks such as improving the order win rate.
Presentation of Specific 'Priority Actions': Clarifies the 'next moves' to elevate the organizational level from AX1, such as conducting AI skill training, building a data infrastructure, and forming a project team.
Campaign Overview
Contents: Creation of an AI utilization diagnosis report and improvement consulting
Price: Normally 100,000 yen -> Special price 10,000 yen (excluding tax)
Target: Limited to 10 companies (To ensure quality, as it includes individual analysis by an AI consultant, the number of companies is limited)
Application Method: Please inquire first from https://anataai.com/contact/ .
Message from the Representative
I believe that the utilization of AI is the greatest opportunity to improve Japan's productivity. However, the reality on the ground is that in many SMEs, AI utilization is still low or remains dependent on individual skills. Moreover, even when utilized, the reality is that it is not being applied to 'core operations' directly linked to sales. Which core tasks should the saved time be reallocated to, and how should the P&L (profit and loss) be improved? That requires an 'ideal state' and 'will' as an organization.
We provide not just a diagnostic report, but a 'strategy map' to articulate the organization's will, and we provide hands-on support through to specific improvement activities.
Company Profile
Company Name: AnataAI Co., Ltd.
Headquarters: 6F Nishi-Shinjuku Mizuma Bldg, 3-3-13 Nishi-Shinjuku, Shinjuku-ku, Tokyo 160-0023
Representative: Yoshiki Murata, Representative Director
Established: March 5, 2026
Business Content: Generative AI corporate training business, Generative AI consulting business
Website: https: