EY
Workflow automation
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
- 150,000+ employees using Microsoft 365 Copilot
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
A manufacturing company manages extensive procurement and supply chain operations while handling large volumes of routine customer service inquiries.
Employees spent up to 45 minutes manually comparing procurement quotes and relied on time-consuming research to identify supply chain risks like...
“Copilot was the perfect entry point for us. The integration into the existing M365 environment reduced barriers and made usage easier.”
Manufacturer of technical adhesive tapes and self-adhesive system solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
tesa's Workflow automation is part of this use case:
Related implementations across industries and use cases
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
A manufacturing company manages extensive procurement and supply chain operations while handling large volumes of routine customer service inquiries.
Employees spent up to 45 minutes manually comparing procurement quotes and relied on time-consuming research to identify supply chain risks like...
“Copilot was the perfect entry point for us. The integration into the existing M365 environment reduced barriers and made usage easier.”
Manufacturer of technical adhesive tapes and self-adhesive system solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
tesa's Workflow automation is part of this use case:
Related implementations across industries and use cases
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.