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

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Authenticate OpenPhone
Now, click the OpenPhone node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenPhone settings. Authentication allows you to use OpenPhone through Latenode.
Configure the Google Vertex AI and OpenPhone 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 OpenPhone 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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AI Anthropic Claude 3
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OpenPhone
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, OpenPhone, 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 OpenPhone integration works as expected. Depending on your setup, data should flow between Google Vertex AI and OpenPhone (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 OpenPhone
OpenPhone + Google Vertex AI + Google Sheets: When a call ends in OpenPhone and a call transcript is available, the transcript is sent to Google Vertex AI for sentiment analysis. The sentiment score, along with the caller's information, is then logged into a Google Sheet.
OpenPhone + Google Vertex AI + HubSpot: When a call ends in OpenPhone and a call summary is available, the summary is sent to Google Vertex AI to generate a more detailed summarization of the call. This AI-generated summary is then added as a note to the corresponding contact in HubSpot.
Google Vertex AI and OpenPhone 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 OpenPhone
Use OpenPhone in Latenode to automate SMS and call workflows. Log activities, trigger actions based on call outcomes, and sync data to CRMs. By using Latenode, you orchestrate OpenPhone within complex workflows, adding logic and integrations not available in OpenPhone alone. Scale customer communication using no-code tools and AI.
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FAQ Google Vertex AI and OpenPhone
How can I connect my Google Vertex AI account to OpenPhone using Latenode?
To connect your Google Vertex AI account to OpenPhone 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 OpenPhone accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze OpenPhone call transcripts with Google Vertex AI?
Yes, you can! Use Latenode to automatically send OpenPhone call transcripts to Google Vertex AI for sentiment analysis. Gain insights to improve customer interactions automatically.
What types of tasks can I perform by integrating Google Vertex AI with OpenPhone?
Integrating Google Vertex AI with OpenPhone allows you to perform various tasks, including:
- Summarizing call transcripts for quick reviews.
- Identifying customer sentiment from call audio.
- Generating automated follow-up messages.
- Routing calls based on caller intent detected by AI.
- Creating personalized experiences using AI insights.
What Google Vertex AI models can I use within Latenode workflows?
You can use any Google Vertex AI model, including language, vision, and translation models. Latenode provides the flexibility to tailor AI to your specific needs.
Are there any limitations to the Google Vertex AI and OpenPhone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data processing by Google Vertex AI might incur costs.
- Real-time analysis depends on the speed of Google Vertex AI processing.
- Complex workflows may require JavaScript knowledge for customization.