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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a envelope is send.
Triggers when a new contact is add.
Triggers when an envelope is canceled
Triggers when an envelope is open.
Triggers when an envelope is signed.
Triggers when envelope is rejected
Action is the task that follows automatically within your Signable integrations.
Send an Envelope using a Template.
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.

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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 Signable and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Signable triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Signable data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Signable and AI/ML API 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 Signable and AI/ML API. 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.
Signable is a digital signature platform that allows users to send, sign, and manage documents online securely and efficiently. It simplifies the process of obtaining legally binding signatures, making it ideal for businesses and individuals who need to handle contracts, agreements, and other important documents.
Learn MoreAI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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