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Power Platform Copilot Integration - Simply Explained

Oct 28, 2026 · 16m 6s
Power Platform Copilot Integration - Simply Explained
Description

Copilot was supposed to clear busy work, yet in Power Platform it often feels like one more thing to check. This episode explains the four Copilot surfaces for makers, analysts...

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Copilot was supposed to clear busy work, yet in Power Platform it often feels like one more thing to check. This episode explains the four Copilot surfaces for makers, analysts and admins, what Copilot Studio agents really cost, and where they work or fall apart. You'll learn how to prepare your data and design agents so the bill and the answers stay under control.

In this episode
  • 00:00 – Why Copilot in Power Platform feels hard
  • 02:16 – Copilot in Power Apps, Power Automate and Power BI
  • 04:12 – Copilot Studio and agents
  • 06:21 – Preparing data for good answers
  • 07:57 – Costs and Copilot credits
  • 10:01 – Where Copilot Studio works and where it stops
  • 12:26 – Beginner mistakes in the first month
  • 13:51 – Fit with Microsoft 365, governance and Azure

Key takeaways
  • Copilot in Power Platform is four surfaces, not one: Power Apps, Power Automate and Power BI help you build, while Copilot Studio builds agents that answer on their own.
  • Answer quality is capped by your data and instructions, so prepare semantic models and name Dataverse tables and columns clearly before relying on Copilot.
  • Agent cost is a design decision: credits vary by answer type, internal agents for Microsoft 365 Copilot seat holders consume no credits, and exceeding prepaid capacity can disable agents.

Worth quoting

“You probably think this is a licensing problem, but the real tension is that copilot is only as good as the data underneath it.” – Mirko Peters (00:19)

“Copilot removes the blank page problem and the syntax problem, and it doesn't remove the thinking problem because you still have to know what question you're asking” – Mirko Peters (03:52)

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This episode includes AI-generated content.
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Information
Author Mirko Peters M365, Azure & AI
Organization m365 FM
Website www.m365.fm
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