Our 5 Biggest Learnings from Connecting Microsoft Copilot with Business Applications

In the last ten months we have been connecting Microsoft Copilot with internal company applications quite a lot using our AI Integration Stack at mcp-builder.ai. It did not matter if we supported self-service users or handled the onboarding for our enterprise customers. The patterns were surprisingly similar, and we learned a lot along the way.

In general, we are seeing more and more companies starting or scaling their journey towards AI automation. Especially with Microsoft Copilot. There are quite a few good reasons for that. Most companies are already using the Microsoft ecosystem, it provides massive computing capacity around the world, and Microsoft is now even offering sovereign AI models for different regions such as Europe.

However, onboarding Microsoft Copilot into your enterprise is only the beginning. During many discovery calls with users from different business departments, we kept hearing the same thing. Without an integration into their business processes, or rather the business software they work with every day, Copilot is simply not used that much.

We believe this is also one of the reasons why Copilot adoption is still relatively slow, as this report points out: 4.5% adoption after 3 years.

So let's make the most out of Copilot and connect it with your business data. Here are our five biggest learnings from doing exactly that.

#1 Copilot Studio is powerful but does not (yet) feel finished

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