Bit Flows
Get Bit Flows Integration
#
Workflow
#
NoCode
#
Automation
REQUIREMENTS
Tutor LMS plugin
Bit Flows plugin
RELATED INTEGRATIONS
Google Meet
Live Classes
Jitsi Meet
Live Classes
Google Meet
Live Classes
What you can do
Automate course enrollments
Trigger automated workflows whenever a student enrolls in a Tutor LMS course.
Act on the lesson and quiz activity
Run workflows automatically when learners complete lessons or attempt quizzes.
Trigger actions on course completion
Send notifications, certificates, or follow-ups automatically when a student completes a course.
Connect to CRMs and SaaS tools
Sync student and course data with CRMs, email platforms, and other SaaS tools without writing code.
Build advanced workflows with AI agents
Use AI agents to generate automated feedback, decisions, or actions in response to Tutor LMS events.
Create multi-step workflows
Combine multiple triggers, conditions, routers, and actions in a single workflow for advanced automation.
How it works
Install Bit Flows
Install and activate the Bit Flows plugin on your WordPress site.
Choose a Tutor LMS trigger
Select an event, such as enrollment, completion, or quiz attempt, to start your workflow.
Add your actions
Connect apps, CRMs, or AI agents to run automatically when the trigger fires.
Activate and automate
Turn on your workflow and let Bit Flows handle the rest automatically.
FAQs
Yes. Bit Flows includes built-in Tutor LMS triggers for key LMS events. You can start workflows instantly without any complicated setup.
Yes. Bit Flows supports AI tools like OpenAI, Gemini, Claude, and more. You can generate feedback, summaries, and messages using LMS data.
An AI Agent can analyze student actions and make decisions automatically. It can choose what action to take based on performance or behavior.
Yes. AI agents can evaluate quiz scores, completion status, and conditions. Based on logic, they can route students to different workflows.
Bit Flows uses conditions, routers, and AI logic to make decisions. Each workflow follows the best path based on real LMS data.
Yes. You can segment students using conditions and AI analysis. High performers, struggling learners, and inactive users can be handled separately.
No. AI workflows and agents are fully no-code and visual. You control everything through simple settings and field mapping.