How to connect Microsoft Teams and OpenAI Responses
Create a New Scenario to Connect Microsoft Teams and OpenAI Responses
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft Teams, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Teams or OpenAI Responses will be your first step. To do this, click "Choose an app," find Microsoft Teams or OpenAI Responses, and select the appropriate trigger to start the scenario.

Add the Microsoft Teams Node
Select the Microsoft Teams node from the app selection panel on the right.

Microsoft Teams
Configure the Microsoft Teams
Click on the Microsoft Teams node to configure it. You can modify the Microsoft Teams URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Responses Node
Next, click the plus (+) icon on the Microsoft Teams node, select OpenAI Responses from the list of available apps, and choose the action you need from the list of nodes within OpenAI Responses.

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Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the Microsoft Teams and OpenAI Responses Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Microsoft Teams and OpenAI Responses Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft Teams, OpenAI Responses, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Microsoft Teams and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Microsoft Teams and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft Teams and OpenAI Responses
Microsoft Teams + OpenAI Responses + Jira: When a new channel message is posted in Microsoft Teams, the content is sent to OpenAI to generate a summary. This summary is then used to create a Jira issue for tracking follow-up tasks.
Microsoft Teams + OpenAI Responses + Google Calendar: When a new chat message is created in Microsoft Teams, its content is used by OpenAI to draft a meeting agenda. Then, a Google Calendar event is created and the team is notified via a Microsoft Teams channel message.
Microsoft Teams and OpenAI Responses integration alternatives
About Microsoft Teams
Use Microsoft Teams in Latenode to automate notifications and approvals. Instead of manual updates, automatically post messages based on triggers from other apps (like CRM or databases). Streamline workflows and improve team communication by connecting Teams to your automated processes without complex coding.
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About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
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See how Latenode works
FAQ Microsoft Teams and OpenAI Responses
How can I connect my Microsoft Teams account to OpenAI Responses using Latenode?
To connect your Microsoft Teams account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Teams and click on "Connect".
- Authenticate your Microsoft Teams and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically answer Teams questions with OpenAI?
Yes, you can! Latenode lets you build custom AI-powered Teams bots without code. Get faster responses and improved support using OpenAI.
What types of tasks can I perform by integrating Microsoft Teams with OpenAI Responses?
Integrating Microsoft Teams with OpenAI Responses allows you to perform various tasks, including:
- Summarizing lengthy Teams conversations automatically using AI.
- Generating meeting agendas based on previous Teams discussions.
- Creating personalized welcome messages for new Teams channel members.
- Routing urgent Teams messages to specific channels using AI analysis.
- Analyzing sentiment in Teams chats to identify potential issues.
How secure is my Microsoft Teams data when using Latenode?
Latenode employs robust security measures, including encryption and access controls, ensuring your data remains secure. We prioritize data privacy.
Are there any limitations to the Microsoft Teams and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex workflows with high volumes may require optimized resource allocation.
- The quality of OpenAI Responses depends on the clarity of the prompts used.
- Real-time processing of extremely large Teams channels might experience delays.