RSM boosts customer service agent productivity with AI-driven support
RSM, a professional services firm, acted as an early adopter of Microsoft Dynamics 365 Copilot in Customer Service. Facing the need to improve agent productivity and deliver quicker, more accurate customer support, RSM leveraged the Copilot AI features—including natural language Q&A, suggested email replies, and multi-source knowledge integration—to automate data retrieval and response. With Copilot integrated into Dynamics 365 during its public preview, RSM's agents could use natural language to get answers to customer questions, retrieve relevant knowledge from both internal and external sources, and speed up email composition and chat responses. The solution provided contextual, AI-generated suggestions, minimizing the time agents spent searching for information and improving overall customer interactions. Results included faster customer response times, improved first contact resolution, and a significant reduction in manual data gathering, signaling a substantial productivity increase in customer service.
- Organization
- RSM
- Industry
- Professional Services
- Location
- United States
- Published
- May 2023
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 2 of 2
- 1AI-assisted customer support agent for professional services
- 2Automated knowledge retrieval and reply generation with Copilot
- Needed to boost customer service agent efficiency and accuracy.
- Agents spent excessive time manually searching knowledge bases and referencing multiple data sources.
- Aimed to automate responses to common customer inquiries and improve first contact resolution.
- Implemented Microsoft Dynamics 365 with Copilot AI features for real-time, context-aware support.
- Enabled natural language question-answering and suggested email replies within agent workspace.
- Integrated internal knowledge bases and web data for comprehensive AI-driven assistance.
- Accelerated response times and customer support resolution.
- Reduced manual effort in knowledge retrieval and email composition.
- Improved agent productivity and overall customer experience.
Sources & evidence1
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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