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

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


JustCall

Configure the JustCall
Click on the JustCall node to configure it. You can modify the JustCall 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 JustCall 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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Google Vertex AI

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 JustCall 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 JustCall 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.

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

Save and Activate the Scenario
After configuring JustCall, 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 JustCall and Google Vertex AI integration works as expected. Depending on your setup, data should flow between JustCall 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 JustCall and Google Vertex AI
JustCall + Google Vertex AI + Slack: When a new text is received in JustCall, analyze its sentiment using Google Vertex AI. If the sentiment is negative, send a direct message to a designated manager in Slack.
JustCall + Google Vertex AI + Google Sheets: Summarize call data using Google Vertex AI and log these summaries, along with other relevant call information, into a Google Sheets spreadsheet for analysis and agent performance reviews.
JustCall and Google Vertex AI integration alternatives

About JustCall
Use JustCall in Latenode to automate call workflows: trigger calls based on CRM updates, send SMS follow-ups, and log call data. Latenode adds visual flow control, custom logic, and data enrichment missing in basic JustCall setups. Create complex, scalable call-centric processes with no-code tools and flexible JavaScript.
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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 JustCall and Google Vertex AI
How can I connect my JustCall account to Google Vertex AI using Latenode?
To connect your JustCall account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select JustCall and click on "Connect".
- Authenticate your JustCall and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze call sentiment using JustCall and Google Vertex AI integration?
Yes, you can. Latenode lets you automate sentiment analysis from JustCall calls using Vertex AI. Get instant insights and improve customer interactions using AI without complex coding.
What types of tasks can I perform by integrating JustCall with Google Vertex AI?
Integrating JustCall with Google Vertex AI allows you to perform various tasks, including:
- Automatically summarizing call transcripts for efficient review.
- Analyzing customer sentiment from call recordings for better insights.
- Classifying call reasons using AI for improved routing efficiency.
- Generating personalized follow-up messages based on call content.
- Updating CRM records with call data using natural language processing.
Can I use JavaScript to customize my JustCall automations in Latenode?
Yes! Latenode allows you to use JavaScript within your automations for advanced logic, data manipulation, and custom functions beyond no-code options.
Are there any limitations to the JustCall and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of call data processing might incur Google Vertex AI costs.
- Real-time sentiment analysis may introduce slight delays.
- Custom AI model training requires familiarity with Google Vertex AI.