Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
A 230-year-old manufacturer of automated waste sorting plants for the global recycling industry, operating worldwide with over 650 employees.
Employees spent hours manually turning raw technical knowledge into usable outputs, creating friction across common tasks like summarizing,...
“In many teams, people were spending too much time turning raw knowledge into usable output—summarizing, translating, drafting. We knew there had to be a better way.”
Automated sorting systems and machinery for the recycling industry.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Technicians spent 30 minutes hunting through 1,500-page manuals. A multilingual AI now provides instant answers and direct citations.
Critical know-how was retiring with veteran engineers. Now, AI agents turn expert videos into instant, searchable guidance for new hires.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Manual processes held back insights. Automated vision models now analyze trap images to predict infestations for growers instantly.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
A 230-year-old manufacturer of automated waste sorting plants for the global recycling industry, operating worldwide with over 650 employees.
Employees spent hours manually turning raw technical knowledge into usable outputs, creating friction across common tasks like summarizing,...
“In many teams, people were spending too much time turning raw knowledge into usable output—summarizing, translating, drafting. We knew there had to be a better way.”
Automated sorting systems and machinery for the recycling industry.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Technicians spent 30 minutes hunting through 1,500-page manuals. A multilingual AI now provides instant answers and direct citations.
Critical know-how was retiring with veteran engineers. Now, AI agents turn expert videos into instant, searchable guidance for new hires.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Manual processes held back insights. Automated vision models now analyze trap images to predict infestations for growers instantly.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.