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

Google Vertex AI
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Nimble

Authenticate Nimble
Now, click the Nimble node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Nimble settings. Authentication allows you to use Nimble through Latenode.
Configure the Google Vertex AI and Nimble 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 Nimble 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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Nimble
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, Nimble, 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 Nimble integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Nimble (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 Nimble
Nimble + Google Vertex AI + Gmail: When a new contact is created in Nimble, analyze the contact's information using Google Vertex AI to determine their sentiment. Based on the sentiment analysis, send a personalized follow-up email via Gmail.
Nimble + Google Vertex AI + Slack: When a new task is created in Nimble, analyze the task description using Google Vertex AI to determine the sentiment. If the sentiment score drops below a threshold, send a Slack alert to the sales team about potential issues.
Google Vertex AI and Nimble 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 Nimble
Use Nimble within Latenode to enrich contact data and automate outreach. Update your CRM, personalize emails, and trigger follow-ups based on engagement—all visually. Latenode handles the workflow logic and scale, while Nimble provides targeted contact intelligence for smarter automation.
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See how Latenode works
FAQ Google Vertex AI and Nimble
How can I connect my Google Vertex AI account to Nimble using Latenode?
To connect your Google Vertex AI account to Nimble 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 Nimble accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich Nimble contacts with AI-generated insights?
Yes, with Latenode! Automatically enrich Nimble contact profiles using Vertex AI for sentiment analysis and personalized communication. This saves time and improves engagement.
What types of tasks can I perform by integrating Google Vertex AI with Nimble?
Integrating Google Vertex AI with Nimble allows you to perform various tasks, including:
- Automatically summarizing customer interactions stored in Nimble using Vertex AI.
- Using AI to classify and tag new Nimble contacts based on their online presence.
- Generating personalized email templates in Nimble using Vertex AI’s text generation.
- Analyzing customer sentiment from Nimble interactions to prioritize leads.
- Predicting deal closure probability in Nimble using Vertex AI’s machine learning.
How securely does Latenode handle Google Vertex AI credentials?
Latenode uses encrypted storage for all credentials. You control access permissions, ensuring secure Google Vertex AI data handling.
Are there any limitations to the Google Vertex AI and Nimble integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- Very high-volume data processing can be subject to Google Vertex AI rate limits.
- Access to certain advanced Google Vertex AI models may require specific permissions.