Connect Xodo Sign and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
Document Sent
Document Completed
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Xodo Sign and kazm
Enable Integrations or automations with these events of Xodo Sign and kazm
Triggers
Document Sent
Triggers when a document is sent.
Document Completed
Triggers when a new document is completed.
Actions
Create Contact
Creates a contact
Find and Download Document
Finds and downloads a document
Send Reminder
Send Reminder to document.
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Know More About Xodosign and Kazm Integrations
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Frequently Asked Questions
To start, connect both your Xodo Sign and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Xodo Sign triggers actions in kazm (or vice versa).
Absolutely. You can customize how Xodo Sign data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between Xodo Sign and kazm 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 Xodo Sign and kazm. 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 Xodo Sign
Xodo Sign by Apryse is an electronic signature software platform that lets you sign, edit and send documents in one place. Xodo Sign helps businesses of every size replace printing, scanning, and mailing with fast, legally binding digital signatures and built-in document editing tools that save time, cut costs, and keep work secure.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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