Here's where ENEOS Materials got it right from day one: they didn't force AI down from the C-suite. Instead, they formed a cross-departmental, volunteer-led team with one crystal-clear mission—"master the technology ourselves first, and then explore its potential in the manufacturing industry."

Think of it as assembling your company's AI Avengers. These volunteers became the bridge between cutting-edge technology and real-world manufacturing challenges, testing ChatGPT Enterprise in May 2024 before rolling it out company-wide by May 2025. Smart move? Absolutely. When your adoption champions are true believers, not reluctant conscripts, magic happens.

🎬 How a Japanese Manufacturing Giant Deployed 1,000+ Custom AI Tools

Watch how ENEOS Materials transformed their entire workforce with AI—achieving 90%+ adoption and compressing research timelines from months to minutes. This is enterprise AI deployment done right.

The R&D team turned ChatGPT into their research superpower, tackling deep analysis of patents, academic papers, and internal documentation. But here's the kicker—tasks that previously took months now complete in minutes.

The language barrier? Obliterated. Instant translation and analysis meant global research became as easy as reading the morning paper. When your R&D team can compress months of work into minutes, you're not just improving efficiency—you're rewriting the rules of innovation.

Picture your engineering team stuck in calculation quicksand, spending half a day on technical tasks that should take minutes. That was the old reality at ENEOS Materials.

Enter their custom GPT for plant design. "Sophisticated technical tasks that previously took half a day can be completed in minutes, simply by asking questions in Japanese," reports Sakemi from the engineering team. Plant design specifications that once required major project timelines now generate in seconds.

HR hit the automation jackpot with their custom GPT for post-training feedback analysis. The numbers are almost too good to believe: data aggregation and analysis time slashed by ~90%, dropping from 1-2 hours to just 20 seconds.

That's not a typo. Twenty seconds to do what used to take two hours. Your HR team is probably reading this and wondering where they can sign up.

The technology stack was elegantly simple yet devastatingly effective: ChatGPT Enterprise as the foundation, then over 1,000 custom GPTs built for specific workflows. No coding required—just smart people asking the right questions in Japanese.

The platform handled everything from deep research and code generation to workflow automation, all within a secure environment designed for proprietary manufacturing data. When you can automate complex technical processes while maintaining enterprise-grade security, you've found the sweet spot.

The numbers tell a story that'll make any executive's pulse quicken:

• Over 1,000 custom GPTs created for specific business workflows
• 90%+ of employees using ChatGPT at least weekly
• 80%+ reporting significant workflow gains
• Research timelines: Months → Minutes
• Technical calculations: Half a day → Minutes
• HR analysis: 1-2 hours → 20 seconds (~90% reduction)
• Full company rollout: Achieved across all employees, including manufacturing sites

ENEOS Materials cracked three critical codes:

• Volunteer-led adoption works: Let enthusiasts drive change rather than mandating from above
• Security enables innovation: Don't compromise on data protection—find AI solutions that meet your standards
• Customization is king: Over 1,000 custom GPTs prove that tailored AI beats generic solutions every time

🐯 Tiger Takeaway:

ENEOS Materials didn't just implement AI—they created an AI-native workforce. When 90% of your people are using AI weekly and 80% see real gains, you're not just improving processes, you're fundamentally rewiring how work gets done. The volunteer-led approach, combined with robust security and extensive customization, created a blueprint that any manufacturing company can follow. The question isn't whether this approach works—it's how fast you can adapt it to your industry.

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