Why You Care
Ever wonder if artificial intelligence could truly transform how a massive company operates? Can AI really deliver on its promises of efficiency? Dai Nippon Printing (DNP) offers a compelling answer, according to the announcement. This global printing giant is seeing impressive results by integrating ChatGPT Enterprise into its daily operations. Your business, regardless of size, could learn from their experience.
What Actually Happened
Dai Nippon Printing Co., Ltd. (DNP), a company founded in 1876, has strategically adopted AI across its organization. The company made a strategic decision to embrace AI in April 2023, as detailed in the blog post. By February 2025, DNP launched ChatGPT Enterprise across ten core departments. This move aimed to improve workflows and enhance productivity across multiple divisions, the company reports. Within just three months of deployment, DNP observed significant improvements. For example, they saw a 100% weekly active usage rate among employees. What’s more, the company reported a 10x increase in processing volume.
Why This Matters to You
Imagine cutting down tedious tasks by nearly 90%. DNP achieved an 87% automation rate in time reduction, according to the announcement. This means less time spent on repetitive work for your teams. They also saw a 70% knowledge reuse rate through custom GPTs. This indicates that employees are effectively sharing and building upon AI-generated insights. Think of it as creating a collective, intelligent assistant for your entire organization. How could such efficiency impact your daily work or your company’s bottom line?
Hiroyuki Otake, General Manager of ICT Control Office, R&D and Engineering Management Division, highlighted the company’s approach. “We drove adoption by making usage visible,” he said. “Each team experimented, shared learnings, and iterated. That momentum created a impact.” This shows the importance of internal collaboration for AI success. Your organization could also foster this culture of experimentation.
Key Performance Indicators from DNP’s ChatGPT Enterprise Deployment
| Metric | Result |
| Use cases with measurable results | 90% |
| Weekly active usage rate | 100% |
| Automation rate (time reduction) | 87% |
| Knowledge reuse rate (custom GPTs) | 70% |
| Increase in processing volume | 10x |
The Surprising Finding
The most striking revelation from DNP’s AI integration comes from their patent research division. Yohei Ishida’s team, General Manager of P&I creation Research and creation Unit, achieved results. They managed to cut patent research time by a staggering 95%, the team revealed. This was accomplished by automating search, summarization, and classification tasks. This finding challenges the assumption that complex, specialized tasks are resistant to high levels of AI automation. It demonstrates that even highly nuanced areas can benefit immensely. The automation also expanded coverage by 10x, according to the announcement. This means not only faster but also more comprehensive research. Your legal or R&D departments might find this particularly interesting.
What Happens Next
DNP’s success offers a clear roadmap for other large enterprises considering AI adoption. The company’s focused approach, targeting departments with high impact potential, is a key takeaway. We can expect to see more companies emulate this strategy in the coming months. For example, imagine similar gains in legal document review or scientific literature analysis. The industry implications are vast, suggesting a future where AI-powered tools become standard for complex knowledge work. Your organization might consider piloting AI in a high-impact division first. The team revealed that DNP is strengthening product uniqueness and long-term competitiveness by elevating IP strategy. This suggests a continuous evolution of their AI integration. What steps will your business take to remain competitive?