DNP Leverages ChatGPT Enterprise for Widespread Business Transformation
Executive Summary
Global printing company Dai Nippon Printing (DNP) has successfully deployed ChatGPT Enterprise across ten core divisions to enhance productivity and accelerate innovation. The initiative has delivered measurable results, including a 95% reduction in patent research time, the creation of Python scripts by non-coders, and streamlined IT compliance. By using AI to automate workflows and preserve institutional knowledge, DNP aims to become an "AI-native" company and create new industry standards.
Key Takeaways
* Massive Efficiency Gains in R&D: Patent research time was cut by 95%, and preparation time for competitive analysis reports was reduced by 80%.
* Democratization of Technical Skills: Employees with no prior coding experience used ChatGPT Enterprise to generate Python scripts for data analysis, reducing development work from over a year to just a few days.
* Streamlined IT & Security: The time for external security audit comparisons was cut from 30 minutes to 5 minutes, and initial cloud security benchmark checks were completed in 10 minutes instead of two person-days.
* Knowledge Preservation: DNP is digitizing unstructured data from paper manuals and historical logs into a searchable knowledge base, accessed via custom GPTs, to combat knowledge loss from retiring experts.
* Rapid & High Adoption: Within three months of launch, DNP reported a 100% weekly active usage rate and measurable results in 90% of use cases.
Strategic Importance
This case study showcases how a large, established industrial company can achieve significant, cross-departmental ROI by strategically deploying generative AI. It serves as a powerful proof point for the enterprise value of ChatGPT in automating complex workflows and preserving critical institutional knowledge.