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

Google Vertex AI
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Businessmap

Authenticate Businessmap
Now, click the Businessmap node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Businessmap settings. Authentication allows you to use Businessmap through Latenode.
Configure the Google Vertex AI and Businessmap 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 Businessmap 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.

JavaScript
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AI Anthropic Claude 3
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Businessmap
Trigger on Webhook
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Google Vertex AI
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, Businessmap, 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 Businessmap integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Businessmap (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 Businessmap
Businessmap + Google Vertex AI + Google Sheets: When a card event occurs in Businessmap, analyze the card details using Google Vertex AI to predict potential delays. Then, log the analysis results and insights in a Google Sheet for tracking and reporting.
Businessmap + Google Vertex AI + Slack: When a card event occurs in Businessmap, use Google Vertex AI to analyze the card details and identify potential bottlenecks. Automatically send a Slack message to a designated channel to alert the team about the potential bottleneck and require immediate action.
Google Vertex AI and Businessmap 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 Businessmap
Use Businessmap in Latenode to automate project tracking and team workflows. Update cards, trigger actions based on status changes, and sync data with other apps. Latenode adds no-code AI, custom logic, and scalable execution. Automate beyond basic integrations and build end-to-end processes visually.
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FAQ Google Vertex AI and Businessmap
How can I connect my Google Vertex AI account to Businessmap using Latenode?
To connect your Google Vertex AI account to Businessmap 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 Businessmap accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate task creation in Businessmap using Vertex AI insights?
Yes, you can! Latenode allows you to trigger Businessmap tasks based on Vertex AI analysis, improving project workflow and decision-making.
What types of tasks can I perform by integrating Google Vertex AI with Businessmap?
Integrating Google Vertex AI with Businessmap allows you to perform various tasks, including:
- Automatically creating Businessmap cards from Vertex AI sentiment analysis.
- Updating Businessmap task details based on Vertex AI prediction outputs.
- Triggering Businessmap workflows when Vertex AI detects anomalies.
- Generating project reports in Businessmap using data processed by Vertex AI.
- Prioritizing tasks in Businessmap based on Vertex AI's risk assessment scores.
How does Latenode enhance Google Vertex AI automation?
Latenode provides a visual, no-code environment for complex Vertex AI automations, adding custom logic and integrations easily.
Are there any limitations to the Google Vertex AI and Businessmap integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- The number of concurrent requests is subject to Google Vertex AI's API limits.
- Real-time data synchronization depends on the APIs of both services.