Thousands of open-text comments across regions made patterns invisible. Copilot synthesizes them into themes leaders act on.
A global industrial technology company with more than 10,000 employees spanning office, engineering, manufacturing, and field roles across multiple regions and business units.
Thousands of open-text survey comments across regions, business units, and roles made it difficult for leaders to spot where employee experiences...
“Employee engagement is a business KPI and should be included in the agenda of the leaders.”
Industrial equipment and process technology provider for power, pulp, and metal sectors.
Enterprise software, cloud infrastructure, and consumer electronics platform.
ANDRITZ's Employee feedback analysis 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.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Staff struggled to draft goals on static forms. Now, AI generates clear objectives, prepping employees for meaningful manager talks.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Mapping a billion protein interactions took years; GPU acceleration cut it to weeks, letting researchers test more candidates without more lab runs.
Multilingual expansion meant days-long vendor queues and manual file conversions. DeepL solved both, cutting turnaround by more than half.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.
Thousands of open-text comments across regions made patterns invisible. Copilot synthesizes them into themes leaders act on.
A global industrial technology company with more than 10,000 employees spanning office, engineering, manufacturing, and field roles across multiple regions and business units.
Thousands of open-text survey comments across regions, business units, and roles made it difficult for leaders to spot where employee experiences...
“Employee engagement is a business KPI and should be included in the agenda of the leaders.”
Industrial equipment and process technology provider for power, pulp, and metal sectors.
Enterprise software, cloud infrastructure, and consumer electronics platform.
ANDRITZ's Employee feedback analysis 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.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Staff struggled to draft goals on static forms. Now, AI generates clear objectives, prepping employees for meaningful manager talks.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Mapping a billion protein interactions took years; GPU acceleration cut it to weeks, letting researchers test more candidates without more lab runs.
Multilingual expansion meant days-long vendor queues and manual file conversions. DeepL solved both, cutting turnaround by more than half.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.