OpenPhone and Google AI Integration

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Automatically analyze OpenPhone call transcripts with Google AI for sentiment and key topics. Latenode’s visual editor and affordable pay-by-execution pricing make this advanced AI integration accessible. Refine results further with custom JavaScript code.

Swap Apps

OpenPhone

Google AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OpenPhone and Google AI

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

Add the OpenPhone Node

Select the OpenPhone node from the app selection panel on the right.

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OpenPhone

Configure the OpenPhone

Click on the OpenPhone node to configure it. You can modify the OpenPhone URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Google AI Node

Next, click the plus (+) icon on the OpenPhone node, select Google AI from the list of available apps, and choose the action you need from the list of nodes within Google AI.

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Authenticate Google AI

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

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Sign In

Run node once

Configure the OpenPhone and Google AI Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the OpenPhone and Google 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.
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Save and Activate the Scenario

After configuring OpenPhone, Google 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 OpenPhone and Google AI integration works as expected. Depending on your setup, data should flow between OpenPhone and Google AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect OpenPhone and Google AI

OpenPhone + Google AI + Slack: When a new call transcript is available in OpenPhone, it is sent to Google AI to generate a summary. The summary is then posted to a specified Slack channel.

OpenPhone + Google AI + HubSpot: When a new call transcript is available in OpenPhone, the transcript is analyzed by Google AI to determine customer sentiment. The HubSpot contact record is then updated with the sentiment score.

OpenPhone and Google AI integration alternatives

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.

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

See how Latenode works

FAQ OpenPhone and Google AI

How can I connect my OpenPhone account to Google AI using Latenode?

To connect your OpenPhone account to Google AI on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select OpenPhone and click on "Connect".
  • Authenticate your OpenPhone and Google AI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically summarize OpenPhone voicemails with Google AI?

Yes, you can! Latenode lets you trigger AI summaries of voicemails. This saves time and quickly surfaces important call details for faster follow-up actions.

What types of tasks can I perform by integrating OpenPhone with Google AI?

Integrating OpenPhone with Google AI allows you to perform various tasks, including:

  • Automatically categorizing incoming calls using AI analysis.
  • Generating personalized SMS responses based on call transcripts.
  • Updating CRM records with AI-extracted information from calls.
  • Routing calls based on sentiment analysis of the caller's voice.
  • Creating automated follow-up tasks based on call content.

How easily can I use custom logic within OpenPhone automations?

With Latenode, easily add JavaScript, NPM modules, and custom AI prompts to OpenPhone workflows for advanced, tailored functionality beyond simple integrations.

Are there any limitations to the OpenPhone and Google AI integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex AI models may require higher processing time.
  • Real-time analysis depends on network connection quality.
  • Integration is limited by the API capabilities of both apps.

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