MicrosoftExpanded

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
Published
May 2023

Reported outcomes

Strategic outcomes

Customer experience & trustImproved customer support resolutionCustomer experience & trustImproved overall customer experienceSpeed & agilityAccelerated response timesScale & capacityReduced manual effort in support workflows

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
ExpandedExpanded

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.

Groundedness: Unavailable

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Was this useful?

Community

Comments

No published comments yet.