Available with: Microsoft 365 Copilot and Copilot Studio
Financial Services scenario: Insurance – Create a quote
Scenario
For Insurance access knowledge repositories and craft communications to quickly create a quote
Insurance underwriters receive large amounts of emails. Responding quickly to critical issues and requests for quotes helps improve customer satisfaction and can increase revenue.
Microsoft 365 Copilot Chat2
Benefit: Summarize and prioritize emails received that require attention and look deeper into the emails that are most urgent.
One of the emails is a request for a quote for a new commercial real estate property and requires a risk assessment of the property across key risk dimensions.

Copilot Studio Agent
Benefit: Run a risk assessment using in house risk assessment and insights tool to summarize the insurers risk on the property address in the email and summarize the risk within Copilot.
In addition to gathering property risk, the underwriter also provides customer information and history including other policies, history of compliance, fraudulent claims, etc.

Copilot Studio Agent
Benefit: Copilot provides a historical summary of the customer by extracting the customer’s name from original email, sending to insurance history app, and providing a summary of existing properties for review.
Understand what the replacement cost would be for the building based on parameters such as location, age, floor space, etc.

Copilot Studio Agent
Benefit: Create estimate for replacement costs in Copilot using the insurance company’s estimator app for building quotes and historical estimates.
Summarize the information collected from each system for the property to create a risk assessment analysis and recommended quote.

Copilot in Outlook
Benefit: Use Copilot to summarize and draft an email response including background information and justification for the decision.
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
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