National Banking Company Streamlines Contact Center for Improved Customer Experience
A national banking company needed to address challenges in its customer support center, including employee inefficiency and customer dissatisfaction caused by scattered information and delayed responses. To solve this, the company implemented a custom solution integrating a non-Microsoft contact center with Microsoft technologies, notably Copilot Studio, Dataverse, Azure Data Lake Storage, Azure AI Foundry, Azure AI Search, and Power Platform. The solution features an employee agent built in Copilot Studio to allow employees faster access to unified information when assisting customers, seamlessly connecting various internal data sources. Operational data is stored in a central non-Microsoft database, while knowledge sources, conversation transcripts, and analytics are managed with Microsoft Dataverse, Azure Data Lake, and Power BI. Security, identity management, and governance were ensured via Microsoft Entra ID and Power Platform administration tools. The result is the ability to support over 3.5 million customer conversations annually, dramatically improving both response times and employee productivity. Advanced governance, data compliance, fine-grained access, and proactive diagnostics are all integrated into the platform. The architectural approach follows Microsoft Power Platform Well-Architected principles, emphasizing high data quality and responsible AI. The success is inspired by the ABN AMRO Bank's similar Copilot Studio deployment, but adapted for this banking company. The implementation focuses on delivering actionable insights through Power BI dashboards and efficient knowledge retrieval, while tracking continuous improvements via user feedback and analytics.
- Organization
- National banking company
- Industry
- Finance
- Location
- Global
- Published
- April 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- National banking company
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- learn.microsoft.com
Operational data is stored in a central non-Microsoft database, while knowledge sources, conversation transcripts, and analytics are managed with Microsoft Dataverse, Azure Data Lake, and Power BI
Primary read
Use case focus
Showing 3 of 3
- 1Automated Customer Support via Unified Data Platform
- 2AI-Powered Employee Agent for Contact Center
- 3Knowledge Management and Governance for Banking
- Integrated a non-Microsoft contact center with Microsoft Copilot Studio to build custom employee support agents.
- Consolidated data sources using Microsoft Dataverse and Azure Data Lake Storage.
- Used Azure AI Foundry and Azure AI Search to power knowledge retrieval and agent intelligence.
- Implemented Power Platform governance tools and Microsoft Entra ID for secure access.
- Leveraged Power BI dashboards for operational analytics and actionable insights.
Architecture
The architecture integrates a non-Microsoft contact center with Microsoft Copilot Studio and Power Platform. Employee agents access consolidated data from sources made available via Dataverse and Azure Data Lake Storage. Azure AI Foundry and Azure AI Search handle generative knowledge search and vector indexing. Authentication and access management are handled through Microsoft Entra ID. Operational insights are visualized in Power BI dashboards. The system enforces row-level security in Dataverse, connects to external data via APIs or virtual tables, and enables real-time diagnostics, asynchronous flows, and platform-scale governance through Power Platform administration.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
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