Normalized claim
Accuracy: 7% increase
Increased intent recognition accuracy by 7% for Dutch language interactions.
ABN AMRO Bank, one of the largest banks in the Netherlands, enhanced its customer and employee interactions using Microsoft Copilot Studio with Azure services, as part of their digital banking innovation strategy. The bank migrated its chatbots Anna (customer-facing) and Abby (employee-facing) to Microsoft Copilot Studio, integrating Azure AI Language CLU for improved intent recognition and entity extraction, supporting over 3.5 million customer conversations annually. They implemented continuous integration and delivery with Azure DevOps and used Power BI for monitoring and analyzing key performance indicators. The new AI-driven agents handle complex queries with higher accuracy and reduced operational costs, improving customer and employee satisfaction significantly.
Reported outcomes
+7%
accuracyQuality & accuracy
Strategic outcomes
Catalog median for quality & accuracy deployments: +41% across 63 reported metrics. Compare benchmarks →
Normalized claim
Accuracy: 7% increase
Increased intent recognition accuracy by 7% for Dutch language interactions.
The new AI-driven agents handle complex queries with higher accuracy and reduced operational costs, improving customer and employee satisfaction significantly
Primary read
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Architecture includes AI-powered agents Anna (customers) and Abby (employees) using Microsoft Copilot Studio with Azure AI Language CLU, Azure Communication Services, Azure DevOps, Power BI for monitoring, conversational IVR for voice channels, and continuous integration via Azure DevOps pipelines.
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