Connect Kadoa and ClosedLoop AI to Build Intelligent Automations
Ready to use Kadoa and ClosedLoop AI automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Workflow Data
Triggered when a workflow data is updated.
New Product Insight Generated
Runs when new product insight is generated
Do thisActions
Action is the task that follows automatically within your Kadoa integrations.
Ingest Feedback
Send customer feedback from any source to extract product insights.
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Frequently Asked Questions
To start, connect both your Kadoa and ClosedLoop AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Kadoa triggers actions in ClosedLoop AI (or vice versa).
Absolutely. You can customize how Kadoa 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 Kadoa 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 Kadoa 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 Kadoa
Kadoa is a versatile platform designed to streamline and enhance your project management and team collaboration efforts. With a focus on improving productivity and efficiency, Kadoa offers a suite of tools that facilitate seamless communication, task management, and project tracking. Ideal for teams of all sizes, Kadoa helps you stay organized and on top of your projects, ensuring that deadlines are met and goals are achieved.
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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