Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
Slovakia's largest electricity producer, operating nuclear, hydro, and renewable plants across Central Europe, with critical operational knowledge scattered across disconnected systems and years of accumulated technical debt straining IT service delivery.
Employees spent significant time searching multiple systems for information, leaving little time for actual analysis. Tracing relationships between...
“It took significant time to find items, leaving no time for actual analysis.”
Slovak electric utility operating nuclear, hydroelectric, and thermal power plants.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Slovenské Elektrárne's Knowledge search is part of this use case:
Related implementations across industries and use cases
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Experts were bottlenecked by repetitive questions. Now, employees build custom agents to retrieve answers and free up specialists.
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
Slovakia's largest electricity producer, operating nuclear, hydro, and renewable plants across Central Europe, with critical operational knowledge scattered across disconnected systems and years of accumulated technical debt straining IT service delivery.
Employees spent significant time searching multiple systems for information, leaving little time for actual analysis. Tracing relationships between...
“It took significant time to find items, leaving no time for actual analysis.”
Slovak electric utility operating nuclear, hydroelectric, and thermal power plants.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Slovenské Elektrárne's Knowledge search is part of this use case:
Related implementations across industries and use cases
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Experts were bottlenecked by repetitive questions. Now, employees build custom agents to retrieve answers and free up specialists.
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.