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

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When this happensTriggers
A trigger is an event that starts a workflow.
Send an alert when an error occurs for one or more selected bridges.
Send an alert for selected bridges when required variables are missing, prompting you to correct the configuration.
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]()
Send a message to a chosen AI agent and receive the agent's reply, cost estimate, model used, and related response details.
Returns the provided input data for testing or verification.

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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 Deepak Kalal accounts to viaSocket. Once connected, you can set up a workflow where an event in Gtwy triggers actions in Deepak Kalal (or vice versa).
Absolutely. You can customize how Gtwy data is recorded in Deepak Kalal. This includes choosing which data fields go into which fields of Deepak Kalal, setting up custom formats, and filtering out unwanted information.
The data sync between Gtwy and Deepak Kalal 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 Deepak Kalal. 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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