Build deterministic agent flows in Microsoft Copilot Studio
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A practical guide to creating Copilot Studio agent flows, configuring triggers and actions, updating Dataverse records, and testing results.
TL;DR
Microsoft Copilot Studio agent flows provide deterministic processes initiated by an agent. The guide shows how to create a trigger, define a topic, add a New Agent flow tool, configure inputs and outputs, update a Dataverse row, and test the result with simulated triggers.
Original by Griffin Lickfeldt, on Citizen Developer. Read the original
This is our own summary, not a republication or full translation.
Why it matters
- Makers: Create a topic and add a New Agent flow tool, then define clear inputs, outputs, and actions for the scenario.
- Makers: Use a Dataverse update row action when the flow must modify account information, and validate that the expected fields change.
- Admins/IT: Watch for the end all topics action, which the guide recommends to signal completion and prevent unintended processing.
Frequently asked questions
How do agent flows start in Microsoft Copilot Studio?
Agent flows can start autonomously or through a chat experience when a configured event triggers the agent. The guide uses an account field update as an example.
What can a Copilot Studio agent flow do with Dataverse?
A Copilot Studio agent flow can use the update a row action to modify a Dataverse account record, including fields such as its description.
How do I test simulated triggers in Copilot Studio agent flows?
Run simulated triggers and check whether each action fires and the expected account updates appear. Past events can also be retriggered for additional scenarios.