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AI agent that builds your workflows for you
Hundreds of apps to connect
Use AI Agent to qualify leads in CloudTalk, and automatically escalate complex issues. Build custom logic visually on Latenode, and pay only for execution time, not per step.
Connect AI Agent and CloudTalk in minutes with Latenode.
Create AI Agent to CloudTalk workflow
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Create a New Scenario to Connect AI Agent and CloudTalk
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a AI Agent, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI Agent or CloudTalk will be your first step. To do this, click "Choose an app," find AI Agent or CloudTalk, and select the appropriate trigger to start the scenario.
Add the AI Agent Node
Select the AI Agent node from the app selection panel on the right.
AI Agent
Configure the AI Agent
Click on the AI Agent node to configure it. You can modify the AI Agent URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the CloudTalk Node
Next, click the plus (+) icon on the AI Agent node, select CloudTalk from the list of available apps, and choose the action you need from the list of nodes within CloudTalk.
AI Agent
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CloudTalk
Authenticate CloudTalk
Now, click the CloudTalk node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your CloudTalk settings. Authentication allows you to use CloudTalk through Latenode.
Configure the AI Agent and CloudTalk 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 AI Agent and CloudTalk Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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CloudTalk
Trigger on Webhook
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AI Agent
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring AI Agent, CloudTalk, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the AI Agent and CloudTalk integration works as expected. Depending on your setup, data should flow between AI Agent and CloudTalk (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
CloudTalk + AI Agent + Google Sheets: When a new call is received in CloudTalk, an AI Agent analyzes the call, extracts relevant data, and adds it as a new row in a Google Sheets spreadsheet for reporting.
CloudTalk + AI Agent + Slack: Upon receiving a new call in CloudTalk, the call details are sent to an AI Agent for summarization. The AI Agent then posts a summary of the call in a designated Slack channel for quick team review.
About AI Agent
Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.
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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.
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How can I connect my AI Agent account to CloudTalk using Latenode?
To connect your AI Agent account to CloudTalk on Latenode, follow these steps:
Can I automatically update CloudTalk call details using AI Agent analysis?
Yes, you can! Latenode enables this by passing call transcripts to AI Agent for analysis and updating CloudTalk records, improving data accuracy and agent performance.
What types of tasks can I perform by integrating AI Agent with CloudTalk?
Integrating AI Agent with CloudTalk allows you to perform various tasks, including:
How does Latenode enhance AI Agent's capabilities?
Latenode allows you to integrate AI Agent with other services, automating complex tasks and scaling AI workflows beyond its core functions.
Are there any limitations to the AI Agent and CloudTalk integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: