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
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
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
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.