Dynamic Knowledge Routing in Copilot Studio | Tips from Microsoft Power CAT Bootcamp
I recently attended the Copilot Studio Architect Bootcamp organized by Microsoft’s Power CAT team, and it was an incredible learning experience. One of the most impactful techniques I discovered is Dynamic Knowledge Routing, which solves a common challenge in enterprise bots: returning random answers when multiple knowledge sources exist.
This approach makes your bot context-aware by leveraging user attributes and dynamically filtering knowledge sources. Here’s what it involves:
✅ What is Dynamic Knowledge Routing?
A method to route queries to the correct knowledge source based on user context.
Prevents bots from giving random or irrelevant answers.
✅ How It Works
Fetch user attributes (e.g., office location) from Microsoft Entra ID.
Store context in global variables for reuse across topics.
Build dynamic queries to filter sources like SharePoint folders by country.
Update agent instructions to include context in HR-related queries.
✅ Benefits
Accuracy: Answers match the user’s context.
Personalization: Users feel understood.
Efficiency: No repeated clarifications.
Scalability: Works for multiple regions, departments, or languages.
✅ Resources
This technique is a game-changer for enterprise copilot agents. In my video, I share the problem, solution, benefits, and a live demo so you can start implementing it today.
