日本語 
Levi Co., Ltd. has officially launched “iTrain,” a generative AI talent development package for companies, in April 2026, based on the results of a generative AI utilization promotion project that was carried out over approximately four months at a major company listed on the Tokyo Stock Exchange Growth Section.
“AI Training” is a corporate-向け AI talent development program that goes beyond simply introducing AI tools, focusing on “establishing” AI so that every employee can effectively use it in their daily work. It is based on three pillars: the Academy Project (support for establishment through AI seminars and hands-on practice sessions), the Governance Project (establishment of internal rules), and the Analysis Project (visualization of the effects of AI utilization), providing end-to-end support from introduction to establishment and evaluation. This program has been implemented in a company listed on the Tokyo Stock Exchange Growth section, and has achieved results such as an improvement in AI utilization rate from 67.2% to 83.6%, the creation of 2.3 hours per week for practical work, and the circulation of AI utilization know-how in the field.
Background: Why is “AI adoption” becoming a management challenge?
The rapid spread of generative AI (such as ChatGPT and Gemini) has led many companies to adopt AI tools. However, many companies currently face challenges in “establishing” these AI tools, citing issues such as “the tools being implemented but not used in the field,” “only a few employees using them and not spreading throughout the organization,” and “lack of established rules for quality control and risk management.” Reasons for these challenges include the fact that general AI training cannot cover industry-specific risk management standards (copyright, information security, quality control, etc.) and fails to translate AI into practical application in actual work. To address these challenges faced by many companies, Levi has developed “iTrain,” a generative AI talent development package that focuses not just on “installing the tool and being done with it,” but on “supporting employees until the AI takes root in the workplace.”
Also Read: IBM Japan Introduces Regional Oracle Talent Program
This project aimed to quantitatively understand and analyze employees’ AI utilization status and the effects of business improvement. Indicators such as utilization rate, reduction in working hours, and satisfaction were designed and measured, and the effects of the initiatives were visualized for management. A data infrastructure was built to serve as the basis for the next steps.
SOURCE: PRTimes
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