Customer Service Automation · Enterprise Knowledge Search
De Alliantie builds and maintains homes for more than 58,000 limited-income households in the Netherlands. Customer service staff answer 3,000 calls a week but needed efficiencies and insights in answering tenants' questions.
Reported impact
Customer service staff answer 3,000 calls a week but needed efficiencies and insights in answering tenants' questions. In service to their commitment to become carbon-neutral before 2050, it undertakes energy-saving retrofits, builds car-free city districts, pilots natural gas-free homes heated by alternative methods, and more.
de Alliantie Foundation built this solution on Azure OpenAI Service, Dynamics 365, Microsoft 365 Copilot. De Alliantie builds and maintains homes for more than 58,000 limited-income households in the Netherlands. Customer service staff answer 3,000 calls a week but needed efficiencies and insights in answering tenants' questions. Azure OpenAI Service provides the generative AI model layer used for summarization, drafting, classification, or copilots in the workflow. Dynamics 365 provides the core business application experience for service, sales, or operations workflows. Microsoft 365 Copilot assists employees with drafting, summarization, and information retrieval inside daily work tools. De Alliantie’s IT, Data, and Digitalization team built a generative AI chatbot to produce consistently accurate answers faster. Built using Azure OpenAI Service, the chatbot digests information from the knowledge base and uses generative AI to yield a response based on the source material.
Messages, calls, or requests enter the existing workflow, Azure OpenAI Service classifies or summarizes them, and the reviewed output is surfaced to agents and frontline staff.
Customer service staff answer 3,000 calls a week but needed efficiencies and insights in answering tenants' questions.
De Alliantie builds and maintains homes for more than 58,000 limited-income households in the Netherlands.
De Alliantie’s IT, Data, and Digitalization team built a generative AI chatbot to produce consistently accurate answers faster.
In service to their commitment to become carbon-neutral before 2050, it undertakes energy-saving retrofits, builds car-free city districts, pilots natural gas-free homes heated by alternative methods, and more.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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