Lewis Baybutt

This week my friend Laura GB told me about some fun she was having with Python in Fabric Notebooks, working

Integration with custom systems and enterprise use cases often requires more than the out-of-the-box Copilot Studio knowledge sources. Azure AI Search integration in Copilot Studio enables us to build agentic experiences with low-code.

Custom engine agents are better suited for scenarios using richer capabilities such as bringing your own model, orchestrator and adding proactive support. From a Microsoft 365 Copilot extensibility standpoint, Copilot Studio allows you to now use things like topics

Is debugging getting complex for your agents built in Copilot Studio? Adding Power Automate into the mix? Make the process easier with custom telemetry and Application Insights, I'll show you how!

Data loss prevention is one of the primary tools to ensuring a good governance implementation when enabling makers with agentic capabilities in Copilot Studio. It is key to implement DLP policies with care to prevent data leakage and appropriate security.

I'm going to show you how to get the 80% chunk of value out of Microsoft 365 Copilot by extending it with enterprise data sources using Graph Connectors and declarative agents.