Internet Academy Launches "AX Promotion Accompaniment Support" Service to Develop Non-IT Professionals into AI Talent, Realizing Organization-wide AI Transformation (AX) – Providing End-to-End Support for Business Reform, Including 40-Hour Monthly Workload Reduction in Manufacturing

Internet Academy Inc. (Representative Director: Hiroto Nishi, Headquarters: Shinjuku-ku, Tokyo, hereinafter "Internet Academy") has commenced offering "AX Promotion Accompaniment Support," a corporate accompaniment support service aimed at realizing companies' AX (AI Transformation).

■ Many companies are conducting AI training, but their "operations are not changing."

With growing interest in generative AI, many companies have started providing AI training. However, the reality is that a widespread situation exists where "training has been received, but it's not being used in the field" or "individual efficiency has improved, but it hasn't led to organization-wide business reform."

This issue is not solely due to the quality of training. Structural problems such as a lack of follow-up after training, no mechanisms to solve problems arising in the field, and a misalignment between management and the field regarding AI utilization direction, are becoming barriers to business transformation.

Furthermore, in the "Artificial Intelligence Basic Plan" approved by the Cabinet in December 2025, the cultivation of AI talent responsible for AI utilization, AI governance, and collaboration with AI is positioned as an urgent task for companies. This demands a medium-to-long-term human resource development strategy that cannot be addressed by one-off training sessions.

To address these challenges, Internet Academy has developed "AX Promotion Accompaniment Support," which provides end-to-end support from AI talent development to on-site AI utilization and business reform.

■ Service Overview

"AX Promotion Accompaniment Support" is an accompaniment support service that is customized according to the company's AX promotion phase and employee penetration level, flexibly responding from compact 3-6 month packages to long-term development plans spanning years.

The support process progressively deepens AX promotion by repeating the following cycle:

① Foundational Learning Phase
Systematically acquire knowledge ranging from practical business application of generative AI, creation of AI agents, operation of business automation tools (such as Power Automate and Power BI), to AI security and AI governance. The focus is on practical exercises aimed at enabling non-IT field employees to apply skills in their actual work.

② Business Reform Phase
Apply learned content to the company's actual operations. Promote business process reengineering (BPR) in each department through exercises involving analysis of business challenges, proposal of improvement plans, and implementation. Support for coordination with information systems departments and building learning models using Python is also available as needed.

③ Follow-up and Integration Phase
Regular follow-ups are conducted based on the results of on-site business utilization. Continuous support is provided for new challenges arising after implementation and situations where knowledge gained from foundational training cannot be fully utilized, assisting in organization-wide integration.

Target Audience: DX promotion departments, HR/talent development personnel, management/executives, field employees (regardless of industry or profession)

Duration: Flexible from compact 3-6 month plans to long-term annual plans

Fees: Vary depending on support content, duration, and number of participants (individual consultations for subsidy utilization also available)

■ Track Record: Concrete Results of Business Reform Across Industries

Case 1 | Manufacturing Industry: End-to-End Business Reform & Verification with Generative AI and Business Automation Tools

Targeted non-IT department employees (e.g., HR, facility management) for training in generative AI, Power Automate, Power BI, and basic server knowledge. Each department analyzed its own business challenges, proposed improvement plans, and implemented business automation systems.

Key achievements include:

Manufacturing Department: Automated data aggregation, processing, and visualization for manufacturing progress reports, reducing workload by 40 hours per month.

Facility Management Department: Enabled AI-driven operational predictions by loading vast amounts of field equipment data into Python learning models.

Marketing Department: Automated collection, organization, and dashboard visualization of competitor and market data using AI agents. Reduced investigation time from 1 hour per case to a few minutes.

Case 2 | Entertainment Industry: Integration of AI Utilization and Self-Sustaining Knowledge Sharing Project

Provided foundational training in Power Automate, data analysis, and generative AI utilization to a company with a desire for data utilization but lacking specialized knowledge and thus slow DX progress. Through BPR training, practical exercises using actual in-house data, and regular follow-ups on field issues, the following results were achieved:

Promoted DX through data utilization and business automation.

AI utilization permeated employees' work, improving efficiency across various tasks.

An internal project for employees to voluntarily share AI utilization know-how became self-sustaining.

■ Companies/Personnel for Whom This Service is Particularly Effective

Companies that have conducted AI training but have not seen field utilization or business reform.

Companies that are behind in DX promotion and want to make up ground with AX.

Companies that want to reskill non-IT professionals as AI talent but don't know where to start.