Sales agents combed hundreds of docs; unanswered questions pulled in senior staff. Now answers take seconds, saving days of effort weekly.
A Czech insurer with over 30 years serving the market and part of Vienna Insurance Group, with thousands of employees across sales, underwriting, and customer support.
Sales agents routinely sifted through hundreds of documents to find product information, customer spending patterns, and historic policy details....
“We’re now using AI agents to carry out complex activities that save us days per week in manual effort.”
Insurance company providing life, property, vehicle, and liability insurance in Czechia.
Partnered with Kooperativa to build AI agents within its Microsoft Azure environment.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Kooperativa pojišťovna's Knowledge search is part of this use case:
Related implementations across industries and use cases
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
Forms, photos, scans—15 minutes per claim, backlogs frozen every night. Now the system runs 24/7; handlers work the cases worth their time.
EU data rules locked out public AI; every doc and plan written by hand. Now one copilot searches emails, Slack, and docs—within EU borders.
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Sales agents combed hundreds of docs; unanswered questions pulled in senior staff. Now answers take seconds, saving days of effort weekly.
A Czech insurer with over 30 years serving the market and part of Vienna Insurance Group, with thousands of employees across sales, underwriting, and customer support.
Sales agents routinely sifted through hundreds of documents to find product information, customer spending patterns, and historic policy details....
“We’re now using AI agents to carry out complex activities that save us days per week in manual effort.”
Insurance company providing life, property, vehicle, and liability insurance in Czechia.
Partnered with Kooperativa to build AI agents within its Microsoft Azure environment.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Kooperativa pojišťovna's Knowledge search is part of this use case:
Related implementations across industries and use cases
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
Forms, photos, scans—15 minutes per claim, backlogs frozen every night. Now the system runs 24/7; handlers work the cases worth their time.
EU data rules locked out public AI; every doc and plan written by hand. Now one copilot searches emails, Slack, and docs—within EU borders.
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.