Insurance Customer Service Enhanced with AI Copilot Integration
A healthcare insurance company enhanced its customer service operations by integrating Microsoft Copilot into Dynamics 365 Customer Service and the Power Platform. Agents at the company faced high volumes of complex customer interactions, including policy queries, claims disputes, and enrollment inquiries which required accurate and swift handling. With Copilot embedded in their CRM, the company empowered agents with AI-driven suggestions, automated drafting of responses, immediate policy lookup, and guidance on next best actions. This automation allowed live agents to focus on higher-complexity interactions and improved first-time resolution rates. Although specific quantitative metrics are not provided, the case showed significant reductions in response times, more empowered customer service agents, and streamlined operations. The implementation demonstrates how AI copilots can directly support business-critical customer-facing functions in the insurance and healthcare sectors.
- Organization
- Healthcare insurance company, Switzerland
- Industry
- Insurance
- Location
- Switzerland
- Published
- September 2024
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 2 of 2
- 1AI-Powered Customer Support Automation
- 2Automated Claims and Policy Inquiry Handling
- High volume of complex customer service queries, claims, and policy changes.
- Manual handling caused slow response times and inconsistent outcomes.
- Difficulty in supporting agents with up-to-date information during live interactions.
- Need to empower agents to handle a wider range of questions autonomously.
- Implemented Microsoft Copilot within Dynamics 365 Customer Service linked to Power Platform.
- Used Copilot for drafting responses, suggesting actions, and identifying relevant policy details in real time.
- Enabled AI-driven recommendations for agents handling live customer inquiries.
- Automated workflow elements for claims, policy lookups, and fielding customer emails/chats.
- Reduced average customer response times significantly.
- Improved agent confidence in managing complex queries.
- Boosted operational efficiency and quality assurance in customer service.
- Streamlined onboarding and knowledge access for new agents.
Implementation partners1
Sources & evidence1
The case's original source is still reachable.
- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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