if Inc. Announces Progress in AI Adoption Support Program for Manufacturing Sector — Launching 3-Month Claude Code Training for 11 Employees at Manufacturing Company This Summer to Eliminate Knowledge Silos and Cultivate In-House Automation Talent

if Inc. (Headquarters: Nakano-ku, Tokyo; CEO: Yasuyuki Ito) announces the progress of its AI adoption support program tailored for the manufacturing industry. if addresses industry-specific challenges such as knowledge silos, reliance on veteran staff, administrative workload, and stagnation in in-house tool development due to IT talent shortages. The company combines Claude Code training, generative AI workshops, and hands-on coaching to help enterprises improve their existing operations and systems. It has now been decided that a manufacturing company (name withheld) will begin a 3-month Claude Code training program for 11 participants this summer.

Challenges Facing the Manufacturing Industry

While expectations for AI adoption and business automation are rising in manufacturing, the following structural challenges are widely observed:

Knowledge Silos and Veteran Dependence: Judgments and procedures based on years of experience are accumulated within individuals, making standardization and knowledge transfer difficult.

Administrative and Documentation Workload: A significant amount of labor is spent on routine tasks via paper or Excel, such as order processing, inventory, production management, and quality records.

Lack of IT Talent Hinders In-House Tool Development: Staff who best understand on-site challenges lack the means to build their own tools and are forced to rely on external outsourcing.

These issues cannot be resolved by one-off tool implementations alone. There is a growing need for on-site staff to master AI and continuously improve their own workflows.

What if’s Coaching Support Can Achieve

if’s coaching support does not place trainees on a pre-defined track. Instead, it focuses on improving the company’s own track—its existing operations and systems.

Improvement Aligned with Existing Operations and Core Systems: Starting from actual on-site documents, management tasks, and data flows, if collaborates to identify areas that can be automated or optimized using AI.

In-House Automation Through Claude Code: Trainees learn by doing, acquiring the ability to build tools and automation systems for their own responsibilities.

On-Site Staff Development Through Coaching-Based Training: Rather than concluding with a one-time lecture, instructors accompany participants throughout the program, continuously supporting them through challenges and questions about applying AI to their work.

The key differentiator of if’s support is its aim to empower on-site staff to become self-sufficient using AI, rather than continuing to outsource tool development externally.

Current Support Case

Starting this summer, a manufacturing company (name withheld, hereafter 'the company') will begin the Claude Code training program. The confirmed details are as follows:

Participants: 11

Duration and Format: Approximately 3 months (August 1, 2026 – October 20, 2026) of Claude Code training

Curriculum Design: Structured around 21 hours of standard learning time (21 sessions × 60 minutes each)

Objective: To cultivate talent capable of applying AI and driving business automation in manufacturing environments

Subsidy: Planning to utilize the Human Resources Development Support Subsidy (application in progress)

This training program is about to begin and does not yet demonstrate results. if will provide continuous coaching throughout the program, ensuring participants can internalize AI application and automation skills within their actual work context.

*Receiving the subsidy is not guaranteed. Eligibility and payment amounts are determined by the jurisdictional labor bureau.

Individual Consultation Session

if individually designs AI adoption and business automation training curricula based on the actual operations of each enterprise, including manufacturing. Even at early stages—such as 'We want to automate this specific task' or 'We’d like advice on where to start'—if will assess your company’s situation and propose the optimal approach. Consultations regarding subsidy eligibility are also welcome.

Companies interested in learning more are invited to register for an individual consultation session via the inquiry form on if’s website.

About if Inc.

Company Name: if Inc.

Representative: CEO Yasuyuki Ito

Established: January 2021

Headquarters: 2-17-1 Nogata, Nakano-ku, Tokyo

Business Activities: Providing comprehensive generative AI support service 'if AI Partner'; offering corporate reskilling training 'Tech Mentor Corporate Training'; operating programming school 'Tech Mentor'; operating programming learning platform 'Code Lesson'; providing outsourced development and AI-driven teams

URL: https://if-tech.co.jp/

Media Inquiries: Public Relations, if Inc. (Please use the form on the website above)

*This case is published anonymously. *Training content and design described in this release are current plans and may change based on actual implementation. *Subsidy receipt is not guaranteed; eligibility and amounts are determined by the jurisdictional labor bureau. *Product and service names mentioned are trademarks or registered trademarks of their respective companies and are used for reference purposes only.