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.”
STADLER's Knowledge management is part of this use case:
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.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
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.”
STADLER's Knowledge management is part of this use case:
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.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.