Customer Service Automation · Enterprise Knowledge Search
Artificial intelligence is currently transforming entire sectors and industries. And in the area of education, AI is also ushering in a host of potential new applications that are asking to be researched, tested, and implemented.
Reported impact
Syntea’s net promoter score—a metric for customer satisfaction—is roughly 74 percent. One reason for this high score is that Syntea uses natural language, which allows students to communicate with the study buddy as they would with a human. Another reason is that Syntea offers such a wide range of features.
IU Internationale Hochschule built this solution on Azure OpenAI Service, Microsoft Teams. Artificial intelligence is currently transforming entire sectors and industries. And in the area of education, AI is also ushering in a host of potential new applications that are asking to be researched, tested, and implemented. Azure OpenAI Service provides the generative AI model layer used for summarization, drafting, classification, or copilots in the workflow. Microsoft Teams presents collaboration workflows and shared communication experiences to end users. But IU is taking this another step further: “Ideas for how to integrate AI into a study buddy were around even before ChatGPT came out. But at that time, AI models for processing natural language weren’t yet suitable for use at universities,” says Quintus Stierstorfer, Director Synthetic Teaching at IU.
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.
Artificial intelligence is currently transforming entire sectors and industries.
Since October 2023, IU International University of Applied Sciences (IU) has been using Syntea, a study buddy that helps all students achieve their learning goals through interactive dialogue—tailored precisely to their
Syntea’s net promoter score—a metric for customer satisfaction—is roughly 74 percent.
They study at different times and in different locations.
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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