MicrosoftProductionEvidence: Low40/100

PwC automates knowledge management with Copilot Studio-powered chatbots

Use case typeStudent supportUpdated Jun 13, 2026

PwC adopted Microsoft Copilot Studio and Azure AI Bot Service to empower its employees to rapidly build and deploy conversational AI bots. These bots automate content search, improve knowledge retrieval, and support internal learning and development workflows across the global consulting and auditing enterprise. The implementation enabled non-technical fusion teams to create, maintain, and extend bots for a variety of business and support processes. As a result, data retrieval, content discovery, and processing of internal queries have become faster and more accurate. Improvements were observed in organizational productivity, operational efficiency, and employee satisfaction. Bots operate across multiple channels, including Teams and web, and are managed securely within the organization. Fusion teams use a low-code/no-code environment to customize bot behavior to different departments and business units. Critical bot telemetry is tracked to continuously optimize performance and user experience. PwC leveraged Azure security and compliance, meeting stringent requirements in professional services.

Organization
PwC
Location
Global
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
PwC
Provider
Microsoft
Maturity
Production
Linked source
azure.microsoft.com

Improvements were observed in organizational productivity, operational efficiency, and employee satisfaction

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Automated Content Search with Conversational AI
  • 2Knowledge Retrieval Chatbots for Internal Processes
  • 3Employee Support Bots for Learning and Development
  • Implemented Microsoft Copilot Studio for a low-code/no-code bot development environment.
  • Adopted Azure AI Bot Service for enterprise-grade conversational AI and multichannel support.
  • Fusion teams empowered to create and maintain chatbots for a range of business needs.
  • Centralized management and continuous optimization based on critical telemetry.
  • Enhanced content search and retrieval processes.
  • Improved operational efficiency and reduced time spent on internal queries.
  • Increased overall productivity.
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
Publisher: azure.microsoft.com

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