AI Storm and MCEI Tokyo Announce Second "AI Utilization Consultation Session"

AI Storm Inc. (formerly Jexceed Inc., headquartered in Chiyoda-ku, Tokyo, President and CEO Toshio Imai, securities code: 3719) held the second session of its three-part "AI Utilization Consultation Session" series, co-created with NPO MCEI Tokyo, on June 26, 2026 (Fri).

The second session was conducted as a "design phase" to apply the issues identified in the first session to specific management challenges of companies and develop implementable measures. This time, focusing on "recruitment," a common challenge for many small and medium-sized enterprises (SMEs), two consultants presented concrete strategies starting from the performance indicator of application numbers.

◆ From Session 1 to Session 2: From "Issue Discovery" to "Measure Design"

This series was launched to directly address the stagnation experienced by participating companies, often stemming from the common issues in AI utilization: "not knowing where to start" and "AI proof-of-concepts (PoCs) not leading to operational integration."

The first session, held in April 2026, served as a "current situation assessment phase" to identify the on-site challenges of participating companies, focusing not on "what to do with AI" but on "how to connect AI to business outcomes." The second session was positioned as a "phase to design feasible measures" by applying the issues identified in the first session to the specific management challenges of companies.

Following the first session, the consultants were AI Storm President and CEO Toshio Imai and Chief Data Scientist Hiroyuki Shindo. Mr. Shindo holds a Ph.D. in Engineering from Nara Institute of Science and Technology and has successfully led numerous DX and AI projects for companies both domestically and internationally. He addressed the challenges of participating companies from both management and technical perspectives.

◆ Background: The Common Challenge of "Labor Shortage" Faced by SMEs

The challenge of "recruitment" was the subject of the second session, a common issue for many SMEs.

The logistics and transportation industry is a prime example. Over 90% of truck transportation companies are SMEs, and since April 2024, an annual limit of 960 overtime hours has been applied to truck drivers. According to estimates by the Ministry of Land, Infrastructure, Transport and Tourism, if no countermeasures are taken, transportation capacity could be short by 14% in fiscal year 2024 and 34% by fiscal year 2030. (Source: Ministry of Land, Infrastructure, Transport and Tourism)

In this situation of labor shortage, many SMEs face the hurdle of "wanting to strengthen recruitment but not knowing what to change or how to attract applicants." Simply posting information on recruitment platforms results in conditions similar to other companies, failing to differentiate. This stagnation is a common challenge for SMEs across Japan, regardless of industry.

◆ Direction Presented in Session 2: Recruitment Design That Doesn't "Rely Too Much on AI"

In the second session, the two consultants provided implementation-level support for the recruitment challenges faced by participating companies.

AI excels in the area of information gathering. By building a system that uses AI to collect and analyze recruitment content and success stories from other companies across industries in real-time, it is possible to uncover appeal points that would not be discovered internally and utilize them in creating job postings.

On the other hand, a cautious stance was taken regarding having AI write the entire job description. Text generated entirely by AI may lack factual backing and could fail to pass the screening of recruitment platforms. Facts such as salary, working conditions, and employee testimonials are unique to the workplace and cannot be created by AI. The proposal was that humans should handle the facts, while AI should focus on organizing and refining the text based on the gathered knowledge.

This session demonstrated the "connection to business outcomes" from the first session by structuring measures based on the performance indicator of application numbers, rather than abstract discussions of "what AI can do."

◆ Future Outlook

The third session is planned as an "execution-improvement phase" to review execution results and formulate improvement plans. The consultation session serves as a platform for end-to-end support, from current situation assessment to design, execution, and improvement. Following the process of identifying issues in the first session and designing measures in the second, the third session will involve actual testing and validation, pushing participating companies' AI utilization towards "implementation that works from tomorrow."

AI utilization is not limited to large corporations. If the design of how to effectively use generative AI is established, AI can lead to tangible results even in the demanding environment of SMEs facing labor shortages. Through this one-on-one support with each company, AI Storm aims to advance AI utilization in Japanese companies to the implementation stage, contributing to our own growth. We firmly believe that accumulating solutions to individual workplace challenges with AI is the shortest path to boosting Japan's competitiveness, and we are steadily and powerfully moving forward.

◆ Company Overview

Company Name: AI Storm Inc. (formerly Jexceed Inc.)

President and CEO: Toshio Imai

Location: 9F, Eiyoh Building, 3-17-11 Kanda Nishikicho, Chiyoda-ku, Tokyo

Business Activities: AI business, AI education, AI product development, ERP/HR consulting, LED vision, truck sales/leasing, ad truck advertising, IT equipment sales, etc.

Company HP: https://www.ai-storm.co.jp M&A Matching Platform: AI Storm M&A https://ai-storm-ma.com/

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