Connect Toggl Track and Floworg AI
Integrate Toggl Track with Floworg AI to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Add Tag By Name To User when New Client in Toggl-track
Add Tag To User in Floworg AI when New Client in Toggl-track
Broadcast Sub flow To User in Floworgai when New Client in Toggl-track
Clear User Field in Floworg AI when New Client in Toggl-track
Clear User Field by Name in Floworg AI when New Client in Toggl-track
Popular Toggl Track + Floworg AI flows
Start from a real workflow other teams are already running.
Choose a trigger
Toggl Track
When this happens...
New Client
New Project
New Tag
New Time Entry
New Time Entry Started
New Workspace
New Task
Choose an action
Floworg AI
Automatically do this!
Add Tag By Name To User
Add Tag To User
Broadcast Sub flow To User
Clear User Field
Clear User Field by Name
Create Custom Field
Create Tag
Pause Bot Automation
Remove Tag by Name from User
Remove Tag from User
Resume Bot Automation
Send Content to User
Send Main Flow to User
Send Sub Flow to User
Send Text to User
Set Bot Field
Set Bot Field by Name
Set User Field
Set User Field by Name
Create Bot User
Find Agent By Email
Add Tag By Name To User when New Client in Toggl-track
Use this flowAdd Tag To User in Floworg AI when New Client in Toggl-track
Use this flowBroadcast Sub flow To User in Floworgai when New Client in Toggl-track
Use this flowClear User Field in Floworg AI when New Client in Toggl-track
Use this flowClear User Field by Name in Floworg AI when New Client in Toggl-track
Use this flowCreate Custom Field in Floworg AI when New Client in Toggl-track
Use this flowCreate Tag in Floworgai when New Client in Toggl-track
Use this flowPause Bot Automation in Floworg AI when New Client in Toggl-track
Use this flowRemove Tag by Name from User in Floworgai when New Client in Toggl-track
Use this flowRemove Tag from User in Floworg AI when New Client in Toggl-track
Use this flowSupported Triggers & Actions
Everything you can automate between Toggl Track and Floworg AI.
When this happensTriggers
A trigger is an event that starts a workflow.
New Client
Return clients added to the selected workspace within the specified recent time period.
New Project
Retrieve projects created in the selected workspace within the specified recent time window (in minutes).
New Tag
Retrieve tags in the selected workspace that were created within the last N minutes.
New Time Entry
Retrieve time entries created within the specified recent period, filtered by workspace, project, task, or tag.
New Time Entry Started
Trigger when new time entry is started
New Workspace
Trigger when new workspace is created.
Do thisActions
Action is the task that follows automatically within your Toggl Track integrations.
Create a Client
Add a new client to the selected Toggl Track workspace.
Create a Project
Creates a new project in the specified Toggl workspace, optionally linking a client and setting template, privacy, and billable options.
Create a Tag
Add a new tag to the specified Toggl Workspace.
Create a Task
Create a new task in a selected Toggl Track workspace and project with a name and active/done status.
Create a Time Entry
Create a new time entry
Start Time Entry
Start a new time entry
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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About Toggl Track
Toggl Track is a time tracking tool designed to help individuals and teams measure and manage their work hours effectively. It offers features like time tracking, reporting, and project management across web, desktop, and mobile platforms.
Learn moreSimilar apps
About Floworg AI
Floworg AI is an advanced AI-driven platform designed to streamline and enhance organizational workflows. By leveraging cutting-edge artificial intelligence, Floworg AI helps businesses automate routine tasks, optimize processes, and improve overall efficiency. Whether you're managing projects, coordinating teams, or handling complex data, Floworg AI provides the tools you need to stay ahead in a competitive market.
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Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Toggl Track and Floworg AI accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Toggl Track and Floworg AI as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Floworg AI. No coding required.
Yes. You can set up a workflow where Toggl Track triggers actions in Floworg AI, and a separate workflow where Floworg AI triggers actions in Toggl Track. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Toggl Track and Floworg AI. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Toggl Track and Floworg AI integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
