Reinvent Customer Service and Support with Microsoft Copilot Studio on Azure: 1-Hour Workshop + FREE Strategy and Migration Roadmap for Modernizing your Data Platform

Wimmer Solutions

Bring the power of generative AI and automation to help agents deliver faster and more focused customer care.

Our experts in Data and AI will share how you can leverage Microsoft Copilot Studio on Azure through our workshop and achieve the following benefits:

  • Support agents: Reduce time and effort spent on time-consuming, manual tasks—from composing replies to finding information—helping to resolve customer cases faster.
  • Customers: Seamless, personalized service experience on any preferred channel—with many cases resolved through self-help tools, such as AI-powered chatbot services.
  • Supervisors: Visibility into operational performance to maximize service operations and enable effective review processes, with greater insight into customers served, processes, and the health of the service environment.

Agenda:

  • Introduction
  • Microsoft Copilot Studio on Azure for Services Introduction to Agents of the Future
  • Our experience in implementing Microsoft Copilot Studio on Azure for cients
  • Carefully plan for deployment (Checking Your Microsoft Azure Environment)
  • Drive change that lasts – Change Management
  • Feedback mechanism
  • Impact of the Gen AI on Support Operations
  • Understand your current landscape
  • Customer Service Process
  • RCA process
  • Managing Service agents
  • KPIs

After our 60-minute introductory session, we can continue the conversation with an Art of Possible workshop to understand your current landscape, list the possible use cases, prioritize them, and build a roadmap for solution implementation.

https://store-images.s-microsoft.com/image/apps.39517.01280b05-e3c2-4776-ab9f-3f0db9b0b268.0882e593-3a26-418f-9542-2eea4e5f1eb0.195f84ba-3637-473f-b1eb-b38a30d85edc
https://store-images.s-microsoft.com/image/apps.39517.01280b05-e3c2-4776-ab9f-3f0db9b0b268.0882e593-3a26-418f-9542-2eea4e5f1eb0.195f84ba-3637-473f-b1eb-b38a30d85edc