How to connect Google Vertex AI and Microsoft Excel
Create a New Scenario to Connect Google Vertex AI and Microsoft Excel
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 Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Microsoft Excel will be your first step. To do this, click "Choose an app," find Google Vertex AI or Microsoft Excel, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

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

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Authenticate Microsoft Excel
Now, click the Microsoft Excel node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Excel settings. Authentication allows you to use Microsoft Excel through Latenode.
Configure the Google Vertex AI and Microsoft Excel 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 Google Vertex AI and Microsoft Excel 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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Save and Activate the Scenario
After configuring Google Vertex AI, Microsoft Excel, 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 Google Vertex AI and Microsoft Excel integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Microsoft Excel (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Microsoft Excel
Microsoft Excel + Google Vertex AI + Google Sheets: When a new row is added to a Microsoft Excel table, the data from that row is sent to Google Vertex AI for analysis using the Gemini model. The results of the analysis are then saved as a new row in a Google Sheet.
Microsoft Excel + Google Vertex AI + Slack: When a new row is added to a Microsoft Excel table, Vertex AI generates content based on the row data. If the generated content's token count exceeds a threshold, a summary is sent to Slack.
Google Vertex AI and Microsoft Excel integration alternatives
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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About Microsoft Excel
Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.
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FAQ Google Vertex AI and Microsoft Excel
How can I connect my Google Vertex AI account to Microsoft Excel using Latenode?
To connect your Google Vertex AI account to Microsoft Excel on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Microsoft Excel accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically analyze Excel data with Vertex AI?
Yes, you can! Latenode lets you trigger Vertex AI models directly from Excel updates. Automate insights, enhance data driven decisions, and unlock powerful AI analysis without complex coding.
What types of tasks can I perform by integrating Google Vertex AI with Microsoft Excel?
Integrating Google Vertex AI with Microsoft Excel allows you to perform various tasks, including:
- Automatically classify customer feedback stored in Excel using Vertex AI models.
- Generate product descriptions for an e-commerce catalog managed in Excel.
- Predict sales trends based on historical data stored in Excel using Vertex AI.
- Perform sentiment analysis on survey responses collected in a Microsoft Excel sheet.
- Enrich Excel data with AI-powered insights for improved data analysis.
Can I use custom Vertex AI models with my Excel data on Latenode?
Yes, you can! Latenode's flexibility enables you to use pre-trained and custom Vertex AI models seamlessly within your Excel automation workflows.
Are there any limitations to the Google Vertex AI and Microsoft Excel integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large Excel files might require optimized processing for efficient data transfer.
- Complex Vertex AI model deployments might need advanced Latenode configuration.
- Real-time data processing depends on the latency of both Google Vertex AI and Excel APIs.