CloudTalk and Bland AI Integration

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Connect CloudTalk to Bland AI and automate call transcript analysis. Latenode's visual editor and JavaScript nodes make customizing sentiment analysis easier while scaling affordably.

Swap Apps

CloudTalk

Bland AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect CloudTalk and Bland AI

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

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Connect CloudTalk

Sign In

Run node once

Add the Bland AI Node

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

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CloudTalk

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Bland AI

Authenticate Bland AI

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

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CloudTalk

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Bland AI

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Connect Bland AI

Sign In

Run node once

Configure the CloudTalk and Bland 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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Bland AI Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the CloudTalk and Bland 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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Trigger on Webhook

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Save and Activate the Scenario

After configuring CloudTalk, Bland 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 CloudTalk and Bland AI integration works as expected. Depending on your setup, data should flow between CloudTalk and Bland AI (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 Bland AI

CloudTalk + Bland AI + Slack: When a new call ends in CloudTalk, the call transcript is fetched from Bland AI, analyzed for sentiment, and a summary is posted to a designated Slack channel for team review and follow-up.

CloudTalk + Bland AI + Google Sheets: When a new call is received in CloudTalk, the call is analyzed by Bland AI to extract sentiment. The sentiment analysis, along with call details from CloudTalk, are logged into a Google Sheet for tracking and reporting.

CloudTalk and Bland AI 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 Bland AI

Use Bland AI in Latenode to automate content creation or rewrite existing text. Streamline your marketing or support workflows by generating tailored responses. Integrate it directly into your Latenode scenarios and use visual tools to manage prompts, route results, and scale AI tasks without complex coding.

See how Latenode works

FAQ CloudTalk and Bland AI

How can I connect my CloudTalk account to Bland AI using Latenode?

To connect your CloudTalk account to Bland AI 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 Bland AI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically analyze call transcripts for customer sentiment?

Yes, you can! Latenode's visual editor makes it easy to send CloudTalk transcripts to Bland AI for sentiment analysis, automatically tagging customer interactions for improved support insights.

What types of tasks can I perform by integrating CloudTalk with Bland AI?

Integrating CloudTalk with Bland AI allows you to perform various tasks, including:

  • Automatically transcribe CloudTalk calls using Bland AI's speech-to-text.
  • Analyze call sentiment and tag conversations for follow-up.
  • Summarize call content and store it in a database.
  • Trigger automated actions based on keywords spoken during calls.
  • Create personalized customer service experiences with AI-driven insights.

How does Latenode handle large call volumes from CloudTalk efficiently?

Latenode’s architecture can scale to handle high call volumes, processing data asynchronously and efficiently for timely Bland AI analysis without bottlenecks.

Are there any limitations to the CloudTalk and Bland AI integration on Latenode?

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

  • Rate limits of the CloudTalk and Bland AI APIs may affect high-volume workflows.
  • Complex workflows may require JavaScript knowledge for advanced customization.
  • Real-time analysis is not supported; processing occurs after the call ends.

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