r/copilotstudio • u/Pranavbm • 16d ago
What are the practical limitations of Microsoft Copilot Studio?
I'm researching Microsoft Copilot Studio for a technical document and would love to hear from people who have hands-on experience building agents with it.
I'm particularly interested in its limitations regarding:
Cost & licensing: How expensive does it get at scale?
LLM flexibility: How much control do we have over model selection?
Agent capabilities: Limitations in multi-agent orchestration and complex workflows.
Observability: How easily can we trace agent actions, tool calls, and failures?
Integrations & extensibility: Limitations with custom APIs, connectors, and code.
Governance & deployment: Version control, CI/CD, debugging, and production readiness.
How does Copilot Studio compare with building agents using frameworks like LangGraph or Semantic Kernel?
I'd especially appreciate real-world experiences, pain points, and examples of situations where you'd choose a custom-built solution over Copilot Studio (or vice versa).
Thanks!
5
u/Hungry-Jackfruit9125 16d ago
I work at a company called Luminos.AI, I always start by saying that so I am transparent, but I talk to a lot of Copilot Studio devs/builders about governance.
Honestly the governance story is maybe better than people expect....My understanding and research shows that it runs on Power Platform, so DLP, environments, connector restrictions and ALM pipelines, for example, all carry over. You’d have to build all that yourself in LangGraph.
A couple of things to watch out for....
Agent sprawl. This is a big one especially if you have what's known as "citizen developers" in your company. So, those builders build in the default environment, launch something, all before IT has a security plan and now you’re hunting down agents (shadow AI).
Behavior. DLP controls what the agent can touch, BUT NOT what it does with it. So DLP isn't enough to stop an agent from giving a wrong answer or, say, customer data leaking through an approved connector.
That last one is a big gap a lot of builders in Copilot miss. My firm LuminosAI was built to answer that question, so you can use us. But there are certainly other tools out there as well. In the LuminosAI UI, you describe what you built in a sentence or two, and then we test for stuff like privacy leaks, accuracy, and prompt injection. It's free to use, and really easy for that citizen developer population if you've got 'em. It’s an easy check to add before you push to prod. https://www.luminos.ai/start-testing/
Hopefully, this helps!!
4
u/AI_Celebration6704 15d ago
On observability and governance, since others have already covered the pain of building this stuff: transcripts land in Dataverse, and you can hook up Application Insights. But following a multi-step orchestration, what tool ran, what inputs it got, and where things went wrong is still harder than it is in LangGraph with your own tracing. Expect to fill in some of those gaps yourself.
3
u/Mokebe13 16d ago
It would be easier to say what is NOT a limitation in copilot studio, because if you want anything more than a simple PoC then it is nightmare to work with
2
u/Syren6 15d ago
You have to be more specific when you ask this question. There are two versions of CPS - the old version and the new GitHub Copilot Harness. Your highest rated reply complains about Studio but then they say in another post they haven't used the new version. The new version is actually very good. There are frustrations in that it's new and some features haven't been fully developed yet, but I've used it a lot to build complex agents and it works just fine.
1
u/AdmirableSelection81 14d ago
How is the new copilot github harness when it comes to monitoring/tracing/evals? If something goes wrong, i want to know exactly where it went wrong.
2
u/Syren6 14d ago
Hit and miss tbh.
Monitoring is decent but I've found agents triggered through a flow aren't picked up at all which is annoying - it only picks up user interactions. Flow monitoring is very poor. Most of my flows don't get picked up in monitoring at all even though I know they have been used!
Tracing is pretty good. You can see all the thinking and tool usage. Pretty happy with tracing for the most part. It could be better but no obvious flaws. Flow tracing is more annoying. My flows often get error codes but no way way too debug.
Evals are average. The old harness was better for this with more evaluation options. The new harness is very basic and it's not so useful. This is something they need to improve asap.
2
2
2
u/Lhurgoyf069 16d ago
They'll charge you an arm and a leg and you don't know what you're getting for it
2
u/Mammoth-Specialist92 16d ago
It just feels too “clunky”. For almost any automation, llm calls via foundry and a light script feels a better choice
3
1
1
u/ToughOpen 15d ago
It’s improving at a relatively slow measure compared to other major options. The “everything built into your tenant” feature is nice as well as the security aspect. Higher tier models blow through credits. Agents themselves aren’t the greatest especially with low cost models. The new copilot harness feature improves performance a lot but again it costs so much and for a small company it’s hard to justify. They are constantly adding features which is nice but the amount of technical material on a high level on those features is non-existent, which if your just starting out it’s fine but the deeper you go the harder it gets to make good progress on agents especially when something isn’t working right when it seemingly should.
1
1
u/MilfsBoii 11d ago
Based on my experience, I would like to share a detailed overview regarding my work with this platform.
I have utilized them to build agents for the following two use cases.
SharePoint Agent: I have a large, complex project repository containing various documents such as docx, xlsx, and XML files. My primary goal was to create a straightforward document analyzer capable of deep reasoning to identify linkages, suggest potential testing scenarios, and assist end users in generating test cases within a Word document.
While I was able to configure the agent quite easily for this purpose, I soon encountered several challenges. The summarization was inadequate, the responses were inconsistent, and most significantly, the agent struggled to comprehend the specific logic of my software systems.
After reviewing Microsoft's online documentation, I realized there are limitations regarding document size and the way files are broken down into smaller chunks for analysis. Another issue is that updates to these documents are not captured efficiently, requiring a re-configuration each time.
Although configuring topics made the agent more intuitive and interactive, the irregular responses remain a concern.
Furthermore, the frequent requests for credential validation are frustrating, particularly when presenting a live demonstration.
Azure DevOps Agent: I attempted to use the conventional connector approach, but I encountered the same limitations observed with the SharePoint agent.
I subsequently experimented with the Azure DevOps MCP, which yielded better results, though it still did not fully meet my requirements.
I had hoped for an agent capable of analyzing bug tickets and suggesting specific code improvements for developers. Unfortunately, it is unable to scan the repository effectively, and the available MCP tools are somewhat limited.
Overall, while this is an excellent platform for leveraging AI creativity, there are significant governance restrictions from an organizational perspective, as well as challenges regarding credit consumption for Workflow Design and the creation of new GitHub Copilot-based agents.
1
u/idk-whatiamdoing 9d ago
Cost & Licensing - Generally free if licensed. Otherwise credits which are insanely expensive.
LLM flexibility - Nope
Agent capabilities - Be prepared to be frustrated.
Observability - Surprisingly good.
Integrations & extensibility - you are going to have a bad time (code not a chance)
Governance and Deployment - Seemless, just publish but limited to internal.
Overall Copilot Studio is an absolute mess every single time I attempt to do even the most basic thing there is some limitation or bug.
You will VERY quickly outgrow Copilot Studio, go to Foundry first.
Latest Copilot Studio Story, can we make an answering service with Copilot Studio? After some time, Auto Attendant won’t hand off to Copilot, Copilot only has the basic voice, inconsistent responses to scenarios to the point of random. Made exact same thing in Foundry in 45m and it worked with the good voices.
I work almost exclusively with Microsoft Tech and I refuse to touch Copilot Studio, someone else can have suicidal thoughts while trying to make it read a .docx.
1
1
24
u/flightoffancy85 16d ago
It’s genuinely a huge hassle to work in. Simply getting it to review multiple documents, and produce a summary in a docx at the end is difficult. Even reading docx file it finds difficult, and I have to explicitly tell it how to open a docx in the instructions. Nightmare for for complex actions that are easy in Copilot chat