Roboflow + Microsoft Copilot Cowork
Review projects, datasets, training results and saved Workflows in Roboflow by asking Microsoft Copilot Cowork, with the Roboflow for Copilot plugin.
How to connect Microsoft Copilot Cowork to Roboflow
5 stepsAdd Roboflow to Cowork
In Copilot Cowork, select Browse plugins, search for Roboflow for Copilot, and select Add to Cowork. If the button is unavailable, ask your Microsoft 365 admin to approve the plugin.
Turn it on in a conversation
Open a new Cowork conversation and make sure Roboflow is enabled in the Sources & Skills panel.
Connect your Roboflow account
When prompted, sign in to Roboflow, or create a free account, and authorize the connection.
Check your workspace
Ask Cowork to list the projects in your Roboflow workspace with their image counts.
Ask about your work
Ask Cowork to explain a model's training results, inspect a dataset, or show your saved Workflows.
What teams build with Microsoft Copilot Cowork
Get a workspace overview
List every project with its image count without leaving Microsoft 365.
Explain a model's results
Have Cowork summarize a project's training results and evaluation metrics in plain language.
Find the right Workflow
Browse and inspect your saved Workflows to see what each one does, without running them.
Questions
No. The plugin has no extra cost beyond your Roboflow plan, and a free Roboflow plan is available. Copilot Cowork needs a Microsoft 365 Copilot license, and Microsoft bills Cowork usage separately.
No. Cowork connects with OAuth, so you sign in with your Roboflow account and authorize the connection.
Yes. Admins can install Cowork plugins for users from the Microsoft 365 admin center, and some organizations require admin approval before users can add one.
It can inspect projects, datasets and images, review models, training results and evaluations, and find and inspect your saved Workflows, using the permissions your Roboflow account has.
Why are companies choosing Roboflow?
The end-to-end platform for vision AI: create datasets, train models and deploy to production.
Flexible deployment modes
Move from a scalable cloud API to edge hardware like NVIDIA Jetson without managing complex dependencies.
Integrated workflow builder
Combine multiple AI models, custom business logic and third-party integrations into one production-ready pipeline in a low-code editor.
Model monitoring and alerts
Dashboards track confidence, inference time and request volume for your deployed models, and email alerts tell your team when confidence suddenly drops.
