SYSTEM 02 / RAG & INTERNAL KNOWLEDGEIN PRODUCTION

RAG knowledge system with Microsoft Copilot Studio

I built a knowledge system with Copilot Studio that employees use to query the company's large internal knowledge base.

1,000+documents in the knowledge base
100+active users
50–200queries per week

/01

The situation

The company has a large internal knowledge base. For information questions, employees used to turn to colleagues – which cost time on both sides.

/02

The specific task

Make the existing internal knowledge base accessible for information questions through a RAG chatbot in Microsoft Copilot Studio.

/03

My role

Designing and building the RAG chatbot in Microsoft Copilot Studio for internal knowledge access.

/04

Tools used

/05

Rollout & usage

The knowledge system is used internally through Microsoft Copilot Studio.

INSIDE THE WORKFLOWSYSTEM PRINCIPLE · RAG

From question to knowledge.
With traceable sources.

Example flow. A good answer starts with the right sources. This simplified flow shows the principle behind internal knowledge access: index documents, retrieve matching context and link answers to their sources. If the information is not sufficient, the knowledge gap becomes visible. The knowledge system was built with Microsoft Copilot Studio.

01Ask a question

A specific question defines which information is needed. The answer should match the question and be based on the available internal content.

FROM KNOWLEDGE BASE TO A SOURCED ANSWER

This system is in production use. The diagram shows the system principle in simplified form; steps and branches are examples, and internal configurations and data are not published.

RESULTS FROM OPERATIONRESULT

The difference in daily work.

The knowledge system makes existing company knowledge directly accessible. More than 100 active users ask the AI information questions instead of interrupting colleagues.

What it means in practice

Quality control & limits

Review questions for the example flow: Does the retrieved content match the question? Is the answer backed by the sources? How is missing or contradictory information handled?

Get in touch

NEXT SYSTEM / 03

AI agents for research and preparation

THE NEXT STEP05 / CONTACT

Let's
get in touch.

Looking for someone who connects AI applications with existing business processes? I look forward to talking about roles in AI consulting, automation and operational project management.