Why Copilot Struggles with Specialized Knowledge and How to Fix It

2 July 2026

16:00 CEST

Many organizations invest in Microsoft Copilot expecting immediate access to organizational knowledge. In practice, the quality of AI responses depends heavily on the quality of retrieval.

When information is highly specialized, terminology is complex, or documents strongly resemble each other, Copilot can struggle to consistently find the most relevant information.

In this webinar, Xillio explores why Microsoft Copilot can struggle with specialized enterprise knowledge and how retrieval quality directly impacts AI accuracy. The session demonstrates how Aspected for Copilot improves retrieval beneath Microsoft Copilot without changing the user experience or requiring large-scale transformation projects.

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What you'll learn:

Why Microsoft Copilot retrieval quality affects answer accuracy

Common challenges with specialized enterprise knowledge

How retrieval-augmented generation (RAG) works in Microsoft Copilot

How Aspected improves retrieval beneath Microsoft Copilot

How to increase transparency and trust in AI-generated answers

Real-world enterprise use cases and lessons learned

Live demonstration of Aspected for Copilot

Who will benefit most:

Copilot Program Managers

Enterprise Architects

Knowledge Managers

Information Managers

Digital Workplace Leaders

IT Leaders responsible for AI initiatives

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About the Speakers

Ruud de Wolf | Xillio

Global Sales Lead at Xillio

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Jorn Verhoeven | Xillio

Head of Development, is a pivotal force in Xillio's software development. With extensive experience in backend systems, Jorn has played a crucial role in shaping our innovative solutions.

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Rikkert Engels | Xillio

An entrepreneur at heart, he founded Xillio in 2004 and has 18 years of experience in the enterprise content management industry, working in the knowledge management department of a large bank, among others.