r/copilotstudio

When I first started using Microsoft Copilot Studio, I honestly just thought it was another chatbot builder.

But after spending more time with it — topics, Power Automate, knowledge sources, variables/entities, grounding, generative answers and my view of it changed.

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The biggest shift for me was realising it works way better when you treat it like an orchestration layer, not something that should “figure everything out” on its own.

I also found that improving the knowledge sources made a much bigger difference than tweaking prompts over and over.

In enterprise setups, especially, keeping responses grounded to approved sources really cuts down inconsistent or random answers.

Curious what people are actually building with Copilot agents right now — internal helpdesk, automations, something else?

If anyone interested in knowing how I built the agent I can share the details

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The "Flow" era is evolving. Welcome to the "Agent-First" era. 🤖

I’ve just spent some time with the brand-new Copilot Studio Workflow Interface, and it’s clear: Microsoft is moving us toward a massive shift in development experience.

It’s no longer just about linear steps; it’s about a tightly integrated UI where Prompts, Agents, and Microsoft 365 Copilot live together. This makes building sophisticated, grounded workflows significantly faster.

Hey everyone,

I am currently trying to make a RAG agent that utilizes sharepoint as its knowledge source. There are some issues I am facing though:

Is there no way to tweak the rag components such as chunking or retrieval/ reranking approaches? From my point of view I can only point to the sharepoint and there is no other way to optimize things.

My files consist of word documents and ppt files and they include both text and images. If I were to incorporate ai search are there any recommended methods of chunking to ensure images are retrieved correctly? For context images are usually excel graphs embedded in ppt and doc files.

My biggest issue so far is that the agent doesn’t base its answer on a wide set of files. Is there a way to make the agent look on more files (wider search net) before answering? I suppose that would be a prompting issue?

Every time I finish a Copilot Studio build, I hit the same uncomfortable moment: how do I properly validate this works across all the scenarios it's going to face in production?

The happy path is easy. But edge cases, ambiguous inputs, error handling, boundary conditions — those are the things that break at the worst possible moment.

Most approaches I've seen fall into one of three buckets:

• A spreadsheet with test cases that nobody keeps updated
• Clicking around in the test chat and hoping for the best
• No structured testing at all — just shipping and monitoring what breaks

None of those feel right for anything running in a real environment.

Curious what others are doing — do you have a systematic approach to testing before go-live, or is it still mostly informal?

Hi all,

What’s your typical process when deploying agents? Do you have DEV, UAT and PRD environments?

Anyone using these effectively? I'm trying for the first time. The setup is not very intuitive.

Is there a easy way to ask copilot studio agent to send a email ?

It only draft an email but can't send it automatically .

Any suggestion.

We want Agent Builder broadly available but Copilot Studio limited to a smaller, trained cohort (possibly long-term). The catch is an existing Citizen Development program running in its own default environment that we don't want to disturb.

Has anyone done this cleanly and consistently? Security groups, environment routing, DLP, licensing. What's worked?

Background: when we gave end users the full PP experience out of the gate, adoption and support became a real burden. Trying not to repeat that.

Hey everyone!

Let's get straight to the point :

Cowork has a lot of capabilities ,

But we cannot directly Integrate it with Copilot Studio agent or power automate flow , right?

Let me know if we can trigger the connector / copilot studio agent from Cowork?

Can we trigger Cowork by using any node of Copilot Studio?

Uses : I have data on 3rd party and I want Cowork to fetch the data , but that's not possible as data is on third party portal!

But I can arrange the data with the help of the rest API or connector feature of Copilot Studio, then how can we integrate Cowork to work on that data ? I want Cowork to do some complex analysis and then to create excel and PPT.

First of all what happened to it, I remember seeing it several months ago but it's not there anymore, also why isn't this a knowledge source right off the bat like seriously does Microsoft even know what they're doing with this product, other than trying to copy notion? Sometimes I struggle to understand Microsoft's piss poor execution.

title, im so fucked career wise lol

I just got my hands on the all new workflows designer feature for Copilot Studio and in this video we will look at it together for the first time. There's some fantastic new features that you are going to want to see.

I built a Copilot Agent and connected to another agent, now that it is pushed to production when multiple users are on it at the same time, one user GenAIPlannerrateLimitReached error? How can we resolve this for bet user experience. The agent is set up in my environment in copilot studio, registered agent within the azure portal and about to be deployed organization wide. Recommendations?

Hi everyone,

I've been facing an issue with my Copilot Studio agent where it throws the following error after a long conversation:

"An error has occurred. Error code: OpenAIModelTokenLimit"

From what I've researched, this happens when the conversation history accumulates too many tokens and exceeds the underlying OpenAI model's context window limit.

Interestingly, it seems to be user-specific – my teammates using the same agent don't hit this error, likely because their conversation threads are shorter/fresher.

My questions:

1. Has anyone else hit this error in production?

2. Is there a way to auto-reset conversation context in Copilot Studio to prevent this?

3. Is there any way to configure or increase the token limit at the agent level?

Any help or pointers would be appreciated. Thanks!

Most invoice processing setups I've seen rely on someone opening each email, reading the attachment, and typing the data manually into a system. At volume that becomes a part-time job.

So I built a flow that handles all of it automatically — from the moment an email lands in a dedicated folder to the moment the structured data is extracted and registered.

Here's what it actually does:

• Triggers when a new email arrives in a "To Process" folder — only processes emails with attachments, ignores everything else
• Loops through all attachments in a single email — one email can contain multiple invoices
• Saves each attachment to SharePoint, runs OCR text recognition, and stores the output as a structured text file including bounding box coordinates so the AI understands where data sits on the page
• Passes only the file path to the Copilot Studio agent — not the full OCR text — to avoid overloading the prompt
• AI extracts the fields: invoice number, vendor, customer, invoice date, due date, amount, currency
• Validates completeness — if any required field is missing, the attachment routes to an error folder instead of passing silently
• Registers the extracted data to a data table — in my example an online Excel file, but the same logic applies to any structured data target you connect to
• Moves the original email to a processed folder when done

Five attachments in the live demo: one PNG, one JPEG, a 2-page PDF, a 5-page PDF, and one file with a missing field on purpose to show the error routing. Four clean rows registered, one file in the error folder.

One licence note: the "Recognize text in image or document" action in Power Automate requires a Power Automate Premium licence. Worth checking before you build.

The full flow is in my flospect library — same link as always, this build has been added. Every node, prompt, variable, and formula. Ready to view and rebuild in your own environment.

Video walkthrough + library link in the comments.

What's the most repetitive document process your team is still handling manually? Curious what others are dealing with.

My use case is the following:
- Email classification - custom classification, can be multiple classifications then trigger a workflow depending on the classification. Human intervention depending on confidence level. Entity extraction from email. Again, custom entities and depending on context and classification.
- IDP - extract data from email attachments (PDF) and trigger a workflow with pre populated forms.
- Data Insights - Entity multi-hop/relationship insight generation. Data coming from structured (CRM) data and unstructured (emails, text notes, documents). I don’t know how dataverse can handle this but I know Hybrid RAG is required for this.

I’ve done some POC on this with test data using Copilot Studio and AI Builder but what are people’s experience and recommendation for the AI parts? I am thinking O should go straight to Foundry because of the complexity of my use case.

I want to create 1 orchestration agent that call multi agent from intent classified and combine it to one answer. Now I struggle a lot because When I use connected agent(my agent use 1 connected agent and 2 child agent) it answer multiple answer(like agent1 1 message and agent2 1 message) and final answer also didn't have reference link. Also I think just instructions isn't best practices for ai to choose agent. Is their any effective method to combine answer??

I have built the agent with Create Event (V4) and Update event tools. But when the invite is being sent its not generating a team’s link in it. What should I do to fix this?

E7 is here at ~$99 vs ~$90 for E5 + Copilot.

Small price jump, but big shift (Agent 365 + full Entra Suite included).

Are you going bundle or pick-and-choose?

My technical breakdown is available 👇

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