Connect Ringg AI and ClosedLoop AI to Build Intelligent Automations
Choose a Trigger
When this happens...
Conversation Ends
Choose an Action
Automatically do this!
Send Feedback
Ready to use Ringg AI and ClosedLoop AI automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Conversation Ends
Runs when conversation ends
New Product Insight Generated
Runs when new product insight is generated
Do thisActions
Action is the task that follows automatically within your Ringg AI integrations.
List All Assistants
Show all assistants in account
Place an outbound call
Place an outbound call to a contact or phone number
Send Feedback
Send customer feedback to extract product insights.
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Frequently Asked Questions
To start, connect both your Ringg AI and ClosedLoop AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Ringg AI triggers actions in ClosedLoop AI (or vice versa).
Absolutely. You can customize how Ringg AI data is recorded in ClosedLoop AI. This includes choosing which data fields go into which fields of ClosedLoop AI, setting up custom formats, and filtering out unwanted information.
The data sync between Ringg AI and ClosedLoop AI 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 Ringg AI and ClosedLoop AI. 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 Ringg AI
Ringg AI offers advanced AI-driven solutions to enhance communication and customer interaction. With cutting-edge technology, it streamlines processes and improves efficiency for businesses.
Learn MoreAbout ClosedLoop AI
ClosedLoop AI offers advanced AI solutions tailored for healthcare analytics, enabling organizations to leverage data-driven insights for improved patient outcomes and operational efficiency.
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