When this happens...
Alert On Error
Alert On Missing Variables
Alert On Fallback

Automatically do this!
Create an Account
Update Account Information
Delete an Account
Create a Group
Update Group Name
Delete a Group
Update User Profile
Add a Person
Update a Person
Delete a Person
When this happensTriggers
A trigger is an event that starts a workflow.
This will trigger the flow when your bridge gives error.
Get alerts if variables go missing in all or specific bridge.
This will trigger an alert when the fallback mechanism is activated due to a failure in the primary process.
Action is the task that follows automatically within your Gtwy integrations.
This action will send your message to AI. Configure you bridge [https://ai.walkover.in]()
Create a new account.
Update the details of an existing account.
Delete a specific account.
Create a new group under the account.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Gtwy and Folderit accounts to viaSocket. Once connected, you can set up a workflow where an event in Gtwy triggers actions in Folderit (or vice versa).
Absolutely. You can customize how Gtwy data is recorded in Folderit. This includes choosing which data fields go into which fields of Folderit, setting up custom formats, and filtering out unwanted information.
The data sync between Gtwy and Folderit 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 Gtwy and Folderit. 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.
AI Middleware is a platform designed to facilitate seamless integration and interaction between artificial intelligence systems and other software applications. It acts as an intermediary layer that simplifies the communication and data exchange processes, enabling developers to build more efficient and scalable AI-driven solutions.
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