IntegrationsCheckFlowScalekit
CheckFlow + Scalekit

Connect CheckFlow and Scalekit to Build Intelligent Automations

Choose a Trigger

CheckFlow

When this happens...

Choose an Action

Scalekit

Automatically do this!

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

Task Completed

Task Completed

Triggers when a new task is created in Checkflow.

File Uploaded

File Uploaded

Triggers when a new file is uploaded within a task.

New Checklist

New Checklist

Triggers when a new checklist is created.

Request a new Trigger for CheckFlow

Do thisActions

Action is the task that follows automatically within your CheckFlow integrations.

Create a Checklist

Create a Checklist

Creates a new checklist

Share Checklist

Share Checklist

Creates a shared URL for a valid Checklist Id

Create an Organization

Create an Organization

Creates an Organization.

Create New User

Create New User

Creates new user in organization.

Request a new Action for CheckFlow

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Frequently Asked Questions

How do I start an integration between CheckFlow and Scalekit?

To start, connect both your CheckFlow and Scalekit accounts to viaSocket. Once connected, you can set up a workflow where an event in CheckFlow triggers actions in Scalekit (or vice versa).

Can we customize how data from CheckFlow is recorded in Scalekit?

Absolutely. You can customize how CheckFlow data is recorded in Scalekit. This includes choosing which data fields go into which fields of Scalekit, setting up custom formats, and filtering out unwanted information.

How often does the data sync between CheckFlow and Scalekit?

The data sync between CheckFlow and Scalekit typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from CheckFlow to Scalekit?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between CheckFlow and Scalekit?

Yes, you can set conditional logic to control the flow of data between CheckFlow and Scalekit. 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.

CheckFlow

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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Scalekit

About Scalekit

Scalekit is a powerful platform designed to enhance productivity and streamline project management processes. It offers a suite of tools to help teams collaborate efficiently, manage tasks, and track progress seamlessly.

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