CloudTalk and Google Dialogflow ES Integration

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Route calls in CloudTalk based on intent recognized by Google Dialogflow ES. Latenode’s visual editor simplifies complex call flows, while affordable execution-based pricing makes AI-powered routing accessible to businesses of all sizes.

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CloudTalk

Google Dialogflow ES

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect CloudTalk and Google Dialogflow ES

Create a New Scenario to Connect CloudTalk and Google Dialogflow ES

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 CloudTalk, triggered by another scenario, or executed manually (for testing purposes). In most cases, CloudTalk or Google Dialogflow ES will be your first step. To do this, click "Choose an app," find CloudTalk or Google Dialogflow ES, and select the appropriate trigger to start the scenario.

Add the CloudTalk Node

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

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CloudTalk

Configure the CloudTalk

Click on the CloudTalk node to configure it. You can modify the CloudTalk 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 Dialogflow ES Node

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

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Google Dialogflow ES

Authenticate Google Dialogflow ES

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

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Configure the CloudTalk and Google Dialogflow ES 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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Google Dialogflow ES Oauth 2.0

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The action ID

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Run node once

Set Up the CloudTalk and Google Dialogflow ES 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 CloudTalk, Google Dialogflow ES, 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 CloudTalk and Google Dialogflow ES integration works as expected. Depending on your setup, data should flow between CloudTalk and Google Dialogflow ES (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect CloudTalk and Google Dialogflow ES

CloudTalk + Google Dialogflow ES + Zendesk: When a new call ends in CloudTalk, the automation detects the intent of the call using Google Dialogflow ES, and creates a Zendesk ticket with the call summary and intent for support follow-up.

CloudTalk + Google Dialogflow ES + Google Sheets: Upon the start of a new call in CloudTalk, the automation detects the intent using Google Dialogflow ES and logs relevant details, such as the caller's information and the identified intent, into a Google Sheet for analysis and tracking.

CloudTalk and Google Dialogflow ES integration alternatives

About CloudTalk

Automate CloudTalk call and SMS data within Latenode. Trigger workflows on new calls, messages, or agent status changes. Update CRMs, send alerts, or generate reports automatically. Use Latenode's visual editor and data transformation tools to customize call center automations without complex coding, and scale your workflows efficiently.

About Google Dialogflow ES

Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.

See how Latenode works

FAQ CloudTalk and Google Dialogflow ES

How can I connect my CloudTalk account to Google Dialogflow ES using Latenode?

To connect your CloudTalk account to Google Dialogflow ES on Latenode, follow these steps:

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

Can I automate call summaries based on sentiment analysis?

Yes, you can. Latenode’s AI blocks enable prompt-based summaries and sentiment analysis, automatically creating insightful reports from call data to improve agent performance.

What types of tasks can I perform by integrating CloudTalk with Google Dialogflow ES?

Integrating CloudTalk with Google Dialogflow ES allows you to perform various tasks, including:

  • Automatically updating CloudTalk contact information from Dialogflow ES data.
  • Triggering CloudTalk callbacks based on intent recognition in Dialogflow ES.
  • Sending SMS messages via CloudTalk based on Dialogflow ES chatbot interactions.
  • Creating CloudTalk call recordings from Dialogflow ES conversation transcripts.
  • Analyzing customer sentiment from CloudTalk calls using Dialogflow ES insights.

Can Latenode handle high call volumes from CloudTalk?

Yes, Latenode’s architecture is designed to scale, ensuring reliable performance even with high CloudTalk call volumes, processing data efficiently.

Are there any limitations to the CloudTalk and Google Dialogflow ES integration on Latenode?

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

  • Real-time updates depend on the API rate limits of CloudTalk and Google Dialogflow ES.
  • Complex Dialogflow ES intents may require custom JavaScript coding in Latenode.
  • Historical data migration from CloudTalk to Dialogflow ES might require batch processing.

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