This post builds on my last one describing the risk anatomy of an AI use case. It takes that way of describing the risk of a use case and builds a scalable governance model and standards around it to balance that mitigation of risk with enablement of people to achieve value!

How might we describe the risk associated with a use case that uses a single, or multiple, AI ‘units’. I started by trying to break down different parts of an AI Use Case. This post starts to explore that challenge!

We’ve heard of Copilot… A LOT! over the last year or so but there’s another flavour of it that’s arrived… The Agent… This may conjure up images of James Bond… Or Agent Smith from the Matrix… And in reality they’re kinda a combination of the two… but a bit friendlier than Agent Smith! They’re here to help us be EVEN MORE effective!

I've broken down the key components and described how I currently understand them to work with an example of how this could be used in the real world. come and have a read!

Coilot Studio and licensing is the next piece of the broader Power Platform puzzle to explore - What does it mean? What does it cover? What sort of use cases might it apply to. In this post I explore it and try to explain it and the naming convention.

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Have you been wondering what Copilot means in the context of Power Platform? How does it link together? What licenses do I need?

This is how I currently understand it…