Patent strategy relied on subjective manual judgment. AI now standardizes analysis, cutting research cycles from months to days.
One of the world's largest printing companies, employing over 37,000 people globally with a diverse portfolio spanning smart communication, healthcare, and electronics.
Critical expertise was trapped in analog documents and the minds of senior employees, while manual processes for patent research and IT governance...
“We drove adoption by making usage visible. Each team experimented, shared learnings, and iterated. That momentum created a scalable impact.”
Diversified manufacturer of printing, packaging, and electronic components.
AI research and deployment company developing generative models and tools.
Dai Nippon Printing (DNP)'s Enterprise workflow automation is part of this use case:
Related implementations across industries and use cases
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Evaluating one investment took 2 hours. Custom GPTs cut reviews to 5 minutes, reducing the division's workload by 70%.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Evaluating one investment took 2 hours. Custom GPTs cut reviews to 5 minutes, reducing the division's workload by 70%.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Patent strategy relied on subjective manual judgment. AI now standardizes analysis, cutting research cycles from months to days.
One of the world's largest printing companies, employing over 37,000 people globally with a diverse portfolio spanning smart communication, healthcare, and electronics.
Critical expertise was trapped in analog documents and the minds of senior employees, while manual processes for patent research and IT governance...
“We drove adoption by making usage visible. Each team experimented, shared learnings, and iterated. That momentum created a scalable impact.”
Diversified manufacturer of printing, packaging, and electronic components.
AI research and deployment company developing generative models and tools.
Dai Nippon Printing (DNP)'s Enterprise workflow automation is part of this use case:
Related implementations across industries and use cases
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Evaluating one investment took 2 hours. Custom GPTs cut reviews to 5 minutes, reducing the division's workload by 70%.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Evaluating one investment took 2 hours. Custom GPTs cut reviews to 5 minutes, reducing the division's workload by 70%.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.