Connect Chatlayer and Totango to Build Intelligent Automations
Choose a Trigger
When this happens...
New Bot
Choose an Action
Automatically do this!
Get User
List Events
List Touchpoint Type
List Touchpoint Tags
List Activity Types
List Teams
List Objective Status
List Objective Category
List Objective Templates
List Tasks
Create Task
Ready to use Chatlayer and Totango automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Bot
Triggered when a new bot is created.
Do thisActions
Action is the task that follows automatically within your Chatlayer integrations.
Send Message
Sends a message to a user through Chatlayer.
Create Channel
Creates a Channel.
Delete Channel
Delete an existing channel.
Extract NLP Result
Extract results from the Chatlayer NLP models of your bots.
Get User
Get details of user account
List Events
Get all the events form totango.
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Frequently Asked Questions
To start, connect both your Chatlayer and Totango accounts to viaSocket. Once connected, you can set up a workflow where an event in Chatlayer triggers actions in Totango (or vice versa).
Absolutely. You can customize how Chatlayer data is recorded in Totango. This includes choosing which data fields go into which fields of Totango, setting up custom formats, and filtering out unwanted information.
The data sync between Chatlayer and Totango typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Chatlayer and Totango. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Chatlayer
Chatlayer is a powerful AI-driven platform designed to create, manage, and optimize chatbots for various communication needs. It enables businesses to automate customer interactions, enhance user engagement, and improve customer support through intelligent conversational agents.
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