MicrosoftTelecommunicationsEnterprise Knowledge SearchAI and Machine LearningGenerative AI / LLMCustomer ExperienceProductivity Improvement2024MicrosoftMS#0078d4TelecommunicationsNetherlands“From the moment we embarked on this technology, we knew that we needed to treat it like a big experimenting exercise. We said to ourselves: let’s try it, experiment it and see where it takes us.”Founded nearly 150 years ago, the company currently employs just under 10,000 people.May 2, 20246Enterprise Knowledge SearchAzure AI Studio · Azure Cosmos DB · Microsoft Azure02024-05-026
“From the moment we embarked on this technology, we knew that we needed to treat it like a big experimenting exercise. We said to ourselves: let’s try it, experiment it and see where it takes us.”
↗Founded nearly 150 years ago, the company currently employs just under 10,000 people.
↗GenAI allows us to do that and more – helping us to empower our agents to deliver the best possible services and make our customers happy.” Jörg Kramer, Chief of Customer & Commercial Operations, KPN’s Digital, Retail and Customer Service Discover more details CUSTOMER KPN PRODUCTS Azure Cosmos DB Azure Functions Azure AI Studio Azure Service Bus Bing ORGANIZATION SIZE 1,000-9,999 employees COUNTRY Netherlands BUSINESS NEED Artificial Intelligence INDUSTRY Telecommunications Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.
↗Serving more than 10 million people across the country, the company sees technology as key to driving customer success and supporting its employees in their day-to-day operations.
Reported impact
Business outcome
Made possible by Azure OpenAI, the initiative is already proving game-changing at KPN – launching it into a new era of productivity, customer engagement and workforce empowerment. In collaboration with Microsoft, KPN has spent the past year embracing GenAI and using it to improve productivity, empower its employees and drive better services across its entire scope.
Customer Experience
Productivity Improvement
Solution
KPN used Azure AI Studio, Microsoft Dynamics 365, Azure Cosmos DB to surface grounded answers from enterprise knowledge faster. “From the moment we embarked on this technology, we knew that we needed to treat it like a big experimenting exercise. We said to ourselves: let’s try it, experiment it and see where it takes us.”. Key implementation elements included Azure AI Studio provides the workspace for building, testing, and deploying the AI application; Microsoft Dynamics 365 provides the common business process layer that standardizes operations; Azure Cosmos DB stores application state and knowledge or interaction data; Microsoft Azure hosts the application, data, and integrations on scalable cloud infrastructure. Enterprise content from documents, meetings, websites, or internal systems is passed through retrieval and model services so users receive grounded answers inside the target workflow. Source metrics include Serving more than 10 million people across the country, the...
Data flow
Enterprise content from documents, meetings, websites, or internal systems is passed through retrieval and model services so users receive grounded answers inside the target workflow.
Solution architecture
4 components · 3 layers
Compute
Azure AI StudioProvides the workspace for building, testing, and deploying the AI application.
Microsoft AzureHosts the application, data, and integrations on scalable cloud infrastructure.
Storage
Azure Cosmos DBStores application state and knowledge or interaction data.
Orchestration
Microsoft Dynamics 365Provides the common business process layer that standardizes operations.
Architecture clues
Emphasizes secure enterprise access to data and AI capabilities.
Evidence from the source
Founded nearly 150 years ago, the company currently employs just under 10,000 people.
Made possible by Azure OpenAI, the initiative is already proving game-changing at KPN – launching it into a new era of productivity, customer engagement and workforce empowerment. In collaboration with Microsoft, KPN has spent the past year embracing GenAI and using it to improve productivity, empower its employees and drive better services across its entire scope.
Serving more than 10 million people across the country, the company sees technology as key to driving customer success and supporting its employees in their day-to-day operations.
“From the moment we embarked on this technology, we knew that we needed to treat it like a big experimenting exercise. We said to ourselves: let’s try it, experiment it and see where it takes us.”
Review how this reference was scored and trace each normalized claim back to its documented source.
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Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value85/100
Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact15/25
1 metric describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability23/25
11 of 12 key fields link to a named source.
Direct evidence20/20
4 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
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