A First Look at the New Copilot Studio: What to Check Before Building Your Next Agent

Another new Copilot Studio experience? Yes. But the interesting part is not where Microsoft has moved a button. It is whether an agent can carry out a useful process reliably, without turning a straightforward request into a guessing game.

On 9 June, Microsoft announced a rebuilt Copilot Studio. The announcement combines a streamlined authoring experience with an updated AI core and a closer relationship between agents and workflows. The classic and new experiences coexist, so I would evaluate the new one separately instead of treating this as a reason to rebuild every existing agent immediately.

Give the pilot a boring, useful job

My starting scenario would be a fictional IT request assistant. A user asks for a piece of software. The assistant explains the approved options, collects the information needed for a request, and prepares a ticket for review.

For the first version, it would not install software, approve spending or grant access. Those are deliberately excluded. The aim is to prove that the assistant collects the right details and hands them to a predictable process.

Write a one-paragraph success statement before opening the builder: “The assistant produces a complete request with the product, business reason, requester and missing information clearly identified. It never tells the user that an approval has already been granted.”

That gives you something more useful to test than “the answer sounded good.”

Decide which work should be predictable

I would use the agent for interpreting a natural-language request and asking sensible follow-up questions. I would keep required-field validation, approval routing and the final ticket creation in explicitly defined workflow steps.

Consider a request that says, “My manager is fine with it.” That is input from the requester, not the same thing as a recorded approval. My workflow would still require the real approval record before taking a protected action.

This is the design decision I would make before selecting a model. Start with the business rule, then decide where an agent helps.

Build a separate evaluation version

Create a small pilot agent with only the approved knowledge sources and tools needed for this scenario. Give it a name that makes its pilot status obvious. Use a test destination for any ticket or record it creates.

Then compare it with the current process using a fixed set of synthetic requests. Include an ordinary request, missing details, an unavailable product, contradictory instructions, an attempted approval bypass and a request outside the assistant's purpose.

For each case, record the expected result before running the test. Note whether the agent asked the right question, selected the right tool, and stopped at the right boundary. Repeat important cases; one successful answer does not establish reliability.

Check more than the conversation

Inspect the resulting record as well as the chat. Did the requester stay the requester? Were the collected fields correct? Did a failed tool call produce an honest failure message, or did the assistant claim success anyway?

I would also check the environment's connector policies, the identity used by each connection and the relevant capacity or billing arrangements before expanding the pilot.

An agent ownership and access review belongs alongside this testing. Someone needs to maintain the process after the enthusiastic builder moves on to the next project.

Update — 17 June 2026

Microsoft corrected the launch article: these capabilities are public preview, even though they can be used in production environments. Availability in a production environment is not the same as general availability. Include that preview status in your own deployment decision.

Final thoughts

The new experience is worth exploring, but I would judge it on a small completed process, not a polished demonstration. A reliable request assistant with clear limits is a better first result than a very ambitious agent that occasionally invents an approval.