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.
STADLER's Knowledge management is part of this use case:
Related implementations across industries and use cases
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.
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.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
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.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
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.
STADLER's Knowledge management is part of this use case:
Related implementations across industries and use cases
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.
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.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
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.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.