Generali uses Microsoft Copilot Studio agents to improve customer satisfaction and automate information flows
Generali built more than 50 agents with Microsoft Copilot Studio to support specialized insurance workflows beyond content generation. The agents act across complex information flows, including extracting information from unstructured data, running hyper-personalized marketing campaigns, assisting with content creation, and standardizing responses to requests for proposals (RFPs). Microsoft says the solutions allow experts to focus on judgment and customer care and helped Generali achieve top-ranked customer satisfaction.
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Generali
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- Microsoft blog
No explicit deployment-stage evidence found.
Primary read
Use case focus
Showing 3 of 4
- 1Workflow automation
- 2Customer personalization
- 3Document processing automation
- Insurance operations needed improvement across specialized workflows beyond content generation.
- Generali needed to extract information from unstructured data, run hyper-personalized marketing, and standardize responses to requests for proposals while letting experts focus on judgment and customer care.
- Generali built more than 50 agents with Microsoft Copilot Studio.
- The agents support information extraction from unstructured data, hyper-personalized marketing campaigns, content creation assistance, and standardized RFP responses.
- The approach uses Copilot Studio agents across complex information flows rather than a single chatbot experience.
- Microsoft says the agents helped Generali achieve top-ranked customer satisfaction.
- The solution allows experts to focus more on judgment and customer care.
Architecture
The article says Generali built more than 50 agents with Microsoft Copilot Studio to act across complex information flows. The agents extract information from unstructured data, run hyper-personalized marketing campaigns, assist with content creation, and standardize responses to RFPs.
Sources & evidence1
- Customer explicitly identified
- Technical implementation details available
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