Connect CheckFlow and acadify to Build Intelligent Automations
Enable Integrations or automations with these events of CheckFlow and acadify
Enable Integrations or automations with these events of CheckFlow and acadify
Triggers
Task Completed
Triggers when a new task is created in Checkflow.
File Uploaded
Triggers when a new file is uploaded within a task.
New Checklist
Triggers when a new checklist is created.
Actions
Create a Checklist
Creates a new checklist
Share Checklist
Creates a shared URL for a valid Checklist Id
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Frequently Asked Questions
To start, connect both your CheckFlow and acadify accounts to viaSocket. Once connected, you can set up a workflow where an event in CheckFlow triggers actions in acadify (or vice versa).
Absolutely. You can customize how CheckFlow data is recorded in acadify. This includes choosing which data fields go into which fields of acadify, setting up custom formats, and filtering out unwanted information.
The data sync between CheckFlow and acadify 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 CheckFlow and acadify. 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 CheckFlow
Checkflow is a powerful tool designed to streamline and automate your workflow processes. It helps teams manage tasks, track progress, and ensure that all steps in a process are completed efficiently. With Checkflow, you can create custom workflows, assign tasks, and monitor the status of each project in real-time, making it an essential tool for enhancing productivity and collaboration.
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About acadify
Acadify is an online learning platform where academies can register courses and initialize live sessions, while students can register for courses and/or live training sessions.
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