How to connect Microsoft Teams and Google Vertex AI
Create a New Scenario to Connect Microsoft Teams and Google Vertex AI
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 Google Vertex AI will be your first step. To do this, click "Choose an app," find Microsoft Teams or Google Vertex AI, 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 Google Vertex AI Node
Next, click the plus (+) icon on the Microsoft Teams node, select Google Vertex AI from the list of available apps, and choose the action you need from the list of nodes within Google Vertex AI.

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Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Microsoft Teams and Google Vertex AI 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 Google Vertex AI 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, Google Vertex AI, 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 Google Vertex AI integration works as expected. Depending on your setup, data should flow between Microsoft Teams and Google Vertex AI (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 Google Vertex AI
Microsoft Teams + Google Vertex AI + Jira: When a new message is posted in a Teams channel, the content is sent to Google Vertex AI to generate a summary. Then, a Jira issue is created with the summary as the description.
Microsoft Teams + Google Vertex AI + Salesforce: When a new message is posted in a Teams chat, the sentiment is analyzed using Google Vertex AI. The sentiment analysis result is then used to update the lead score in Salesforce.
Microsoft Teams and Google Vertex AI 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 Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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See how Latenode works
FAQ Microsoft Teams and Google Vertex AI
How can I connect my Microsoft Teams account to Google Vertex AI using Latenode?
To connect your Microsoft Teams account to Google Vertex AI 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 Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I summarize meeting transcripts automatically using AI?
Yes, you can! Latenode's visual editor makes it easy to send Teams transcripts to Vertex AI, summarize them, and share highlights back in Teams. Automate insights, effortlessly.
What types of tasks can I perform by integrating Microsoft Teams with Google Vertex AI?
Integrating Microsoft Teams with Google Vertex AI allows you to perform various tasks, including:
- Automatically generating meeting summaries and action items.
- Creating personalized welcome messages for new team members with AI.
- Analyzing team sentiment and providing real-time feedback in Teams.
- Routing support requests to appropriate channels based on AI analysis.
- Generating code snippets using AI and sharing in developer channels.
How can I trigger workflows based on Teams channel messages?
Use the "New Message" trigger in Latenode to start workflows. Filter messages and send data to Google Vertex AI for analysis or content generation.
Are there any limitations to the Microsoft Teams and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file processing may require optimization for efficient workflow execution.
- Rate limits of both Microsoft Teams and Google Vertex AI APIs apply.
- Advanced Vertex AI features require familiarity with AI model configurations.