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

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

Add the OpenAI Responses Node
Select the OpenAI Responses node from the app selection panel on the right.

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

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Authenticate Microsoft Teams
Now, click the Microsoft Teams node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Teams settings. Authentication allows you to use Microsoft Teams through Latenode.
Configure the OpenAI Responses and Microsoft Teams 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 OpenAI Responses and Microsoft Teams 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 donβt 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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Save and Activate the Scenario
After configuring OpenAI Responses, Microsoft Teams, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the OpenAI Responses and Microsoft Teams integration works as expected. Depending on your setup, data should flow between OpenAI Responses and Microsoft Teams (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Responses and Microsoft Teams
Microsoft Teams + OpenAI Responses + Google Sheets: When a new channel message is posted in Microsoft Teams, it is sent to OpenAI for sentiment analysis. The message and its sentiment score are then logged in a Google Sheet.
Microsoft Teams + OpenAI Responses + Jira: When a new channel message is posted in Microsoft Teams, the message is sent to OpenAI to determine if it relates to a critical issue. If a critical issue is detected, a new Jira issue is created with a summary of the message.
OpenAI Responses and Microsoft Teams integration alternatives
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 β all without code.
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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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See how Latenode works
FAQ OpenAI Responses and Microsoft Teams
How can I connect my OpenAI Responses account to Microsoft Teams using Latenode?
To connect your OpenAI Responses account to Microsoft Teams on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Responses and click on "Connect".
- Authenticate your OpenAI Responses and Microsoft Teams accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically post OpenAI-generated summaries to Teams?
Yes, you can! Latenode lets you create custom workflows to send AI-generated summaries from OpenAI Responses directly to Microsoft Teams, keeping your team informed automatically.
What types of tasks can I perform by integrating OpenAI Responses with Microsoft Teams?
Integrating OpenAI Responses with Microsoft Teams allows you to perform various tasks, including:
- Send daily AI-generated news briefings to a specific Teams channel.
- Summarize customer feedback from OpenAI and post it in Teams for review.
- Create instant meeting summaries using AI and share them in a Teams chat.
- Generate responses to common questions in Teams using OpenAI's language model.
- Analyze sentiment from Teams conversations and get OpenAI-driven reports.
How does Latenode handle OpenAI Responses API authentication?
Latenode securely manages OpenAI Responses API authentication, allowing you to focus on building your workflows without managing credentials directly.
Are there any limitations to the OpenAI Responses and Microsoft Teams integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from OpenAI Responses and Microsoft Teams still apply.
- Complex formatting from OpenAI Responses may not render perfectly in Teams.
- Large volumes of data processing might require optimized workflow design.