AI Workflow Automation Just Got Smarter: Native Manus Triggers & Actions Are Now Live in HighLeve

HighLevel has added native Manus triggers and actions directly inside Workflows.

That means you can now create, manage, and automate Manus tasks inside GHL — without relying on third-party automation tools.

If you’ve ever had an AI automation break because a Zap failed, you already know why this matters.

Manus is a task-based AI system. Each task:

• Starts with an initial prompt
• Processes structured AI logic
• Returns a response or output
• Can be continued with additional prompts

With this integration, GHL can now do both:

• Send instructions to Manus
• React to Manus task lifecycle events

Triggers (Manus → HighLevel)

These triggers can start a workflow when something happens in Manus:

• New Task Created – Fires when a new task is created in Manus (from a workflow)
• Task Stopped – Fires when a Manus task is stopped or completed

Important notes:

• Triggers fire only when a task is created via a workflow action
• Tasks created directly inside the Manus app will not trigger workflows
• Triggers poll every 5 minutes (so it’s not instant, but it is consistent)

Actions (HighLevel → Manus)

These actions let you manage Manus tasks directly inside a workflow:

• Create Task – Create a new task in Manus
• Get Task – Retrieve details of a specific task
• Update Task – Modify task metadata or parameters
• Fetch Tasks – Retrieve a list of tasks
• Delete Task – Remove a task
• Continue a Task with a Prompt – Add a follow-up prompt to an existing task

This is the big shift: you’re not just “sending AI a prompt.”

You’re controlling the full AI task lifecycle inside your automation.

Also worth noting:

• Manus actions and triggers are premium workflow steps
• AI usage is billed separately by Manus
• Task limits depend on your Manus subscription

Before this update, building AI workflow automation inside GHL meant jumping through hoops.

You had to send data out of HighLevel using webhooks. Then Zapier (or another tool) would pass it to an AI platform. Then you’d try to push the response back into GHL. If one step failed, the whole thing stalled.

It worked. But it wasn’t clean.

Now, AI workflow automation happens directly inside your Workflow Builder.

You can:

• Create a Manus task
• Store the Task ID
• Retrieve the result
• Continue the task
• Trigger new steps based on its status

All without leaving HighLevel.

This removes multiple failure points. There’s no external routing layer. No broken zaps. No mystery errors in the middle of your automation chain.

It also gives you tighter control.

Instead of treating AI like a one-time message sender, you can now treat it like a process. You control the task from start to finish. You can update it. Continue it. Delete it. Or build logic around its completion.

That’s the real shift.

AI workflow automation inside GHL is no longer a workaround. It’s native infrastructure.

For agencies, this means fewer tools in your stack and stronger systems for your clients.

This update is bigger than it looks.

Most agencies are still using AI in basic ways. One prompt. One response. Maybe a summary. Maybe some content.

That’s surface-level automation.

With native Manus integration, you can now build structured AI workflow automation systems inside GHL.

That changes how you deliver results.

Instead of using AI as a tool, you can use it as a process.

Here’s what that unlocks for agencies:

You can automate lead qualification.
A new lead comes in. Manus evaluates the data. Your workflow routes the lead based on AI output.

You can automate proposal generation.
Manus drafts a proposal. Your workflow retrieves it. Then sends it automatically.

You can automate onboarding tasks.
Create a task. Continue it with new prompts. Build step-by-step AI-driven execution.

You can automate internal operations.
Summaries. Reports. Data processing. Follow-ups. All inside structured workflows.

And because you can store the Task ID and continue tasks, you’re not stuck with one-shot prompts. You can build multi-step logic chains that evolve.

That’s real AI workflow automation.

It also reduces your tech stack. Fewer tools means fewer problems. Fewer problems means fewer support tickets. And fewer support tickets means higher margins.

This gives agencies a new service layer.

You’re no longer just building funnels and email sequences.

You’re building AI systems.

And that’s easier to sell.

Before you start adding actions and triggers, make sure your foundation is set up correctly. Connecting Manus the right way and structuring your first task properly will save you hours of troubleshooting later. Follow the steps below in order, and don’t skip the part about storing the Task ID — that’s what keeps your AI workflow automation running smoothly.

• The Main Menu on the Left side of your screen has all the main areas that you work in when using GHL

1.1 Click on the Automation Menu Item.

• Access the ‘Automation’ section of GoHighLevel
• You’ll now be in the ‘Automation section of GHL, where you can access the Workflow section from the top menu:

1.2 Click on the ‘Workflow’ menu link.

1.3 Create Workflow

• Create new workflow and start from scratch to test out this update

• Inside of Workflow Builder add Manus Trigger and Action to Test Out this Update

2.1 Add Trigger

• To add Trigger simply click add trigger and search for “manus ai” same goes when adding action.

• Adding Manus connection via workflow builder is much easier

3.1 Connect Manus Ai

• Upon adding trigger if you dont connect yet your Manus Ai account you will be prompted to connect your Manus Ai Account

3.2 Connect API key

• Upon Connecting you will be prompted to connect your Api Key, To connect it just follow the instruction indicated in the Box
  • Once connected, you’re ready to build.

When you create your first Manus task inside a workflow, always store the Task ID in a custom field.

This is critical.

Why?

Because you will need that Task ID to:

• Get Task details
• Continue the Task with another prompt
• Update the Task
• Delete the Task

Without storing the Task ID, you break the chain.

Here’s a simple example structure:

Step 1: Trigger (New Lead Form Submitted)
Step 2: Create Task in Manus
Step 3: Save Task ID to a Custom Field
Step 4: Wait or branch logic
Step 5: Use “Get Task” to retrieve the result
Step 6: Continue Task if needed

This allows you to build structured, multi-step AI workflow automation instead of one-off AI calls.

If something fails, go to Automation → Workflows → Execution Logs.

Common reasons a task may fail:

• Integration disconnected
• Invalid Task ID
• Task already stopped
• Missing prompt input
• API authorization issue

The logs will show you exactly what happened.

Build clean. Store the Task ID. Monitor your logs.

That’s how you build reliable AI workflow automation inside GHL.

Now that Manus lives inside Workflows, you need to build it the right way.

Otherwise, you’ll create messy AI chains that are hard to manage.

First rule: always store the Task ID.

This is not optional.

When you use “Create Task,” save the returned Task ID in a custom field. Every future step depends on that value. Without it, you can’t retrieve, update, or continue the task.

Second, break large prompts into structured steps.

Instead of one massive AI instruction, build it in stages. Create the task. Retrieve output. Continue with refinement. Then retrieve again.

This gives you cleaner outputs and more predictable results.

Third, separate logic clearly inside the workflow.

Don’t mix “Create Task” and “Continue Task” in the same messy branch. Build clean sequences. Add waits if needed. Keep your automation readable.

Fourth, plan for failure.

AI is powerful, but APIs can fail. Always:

• Monitor Execution Logs
• Add conditional branches when possible
• Check for missing outputs
• Handle stopped tasks properly

Fifth, remember billing.

Manus AI usage is billed separately. HighLevel premium workflow step rules still apply. That means you should design workflows efficiently. Don’t fire unnecessary tasks.

Clean automation equals lower cost and better performance.

The agencies that win with AI workflow automation will not be the ones who use AI the most.

They’ll be the ones who structure it the best.

Before you start building heavy AI workflow automation systems, you need to understand how billing and limits work.

First, Manus AI usage is billed separately.

HighLevel does not include AI credits for Manus. Your AI processing costs come directly from your Manus subscription.

Second, Manus triggers and actions are premium workflow steps.

That means they follow HighLevel’s premium workflow billing rules. If you’re building high-volume automations, this matters.

Third, triggers poll every 5 minutes.

This is not instant execution. If you’re building time-sensitive systems, account for that delay inside your workflow design.

Fourth, only tasks created via workflows will fire triggers.

If someone manually creates a task inside the Manus app, HighLevel will not react to it. Your automation must initiate the task for lifecycle triggers to work.

Fifth, full AI output and lifecycle history live inside the Manus dashboard.

HighLevel confirms task initiation and returns the Task ID. If you need detailed output tracking, review it inside Manus.

Task limits also depend on your Manus subscription. If you exceed your plan limits, tasks may fail or stop processing.

The key takeaway?

Design smart.

Don’t trigger unnecessary AI tasks. Don’t loop tasks endlessly. Build intentional AI workflow automation that solves real business problems.

That’s how you control both performance and cost.

This is where it gets exciting.

AI workflow automation is not just a feature. It’s a service upgrade.

Here’s how agencies can actually use this in the real world.

Lead Qualification and Scoring

When a lead fills out a form, your workflow can:

Create a Manus task to evaluate the lead
Analyze answers, budget, urgency, and intent
Return a qualification score
Route the lead to the correct pipeline stage

Now your sales team only talks to high-value prospects.

Automated Proposal Drafting

After a discovery call:

• Create a Manus task with call notes
• Generate a customized proposal draft
• Retrieve the output
• Send it automatically via email

You reduce turnaround time from days to minutes.

AI Sales Call Summaries

When a call ends:

• Send transcript to Manus
• Generate summary and action items
• Save output inside the contact record
• Trigger follow-up tasks automatically

That’s clean AI workflow automation working behind the scenes.

Client Onboarding Systems

New client signs.

Your workflow can:

• Create onboarding task
• Generate customized onboarding checklist
• Continue task with refinements
• Trigger internal team notifications

Instead of manually managing every step, AI handles structure while your team executes.

Content Production Systems

You can build a structured chain:

• Create task for blog outline
• Retrieve output
• Continue task for expansion
• Retrieve final draft
• Send for approval

Instead of one messy AI prompt, you create staged refinement.

Internal SOP Automation

Need recurring reports? Campaign audits? Data cleanup summaries?

Build once.

Trigger automatically.

Let Manus process structured logic.

Your workflow retrieves and distributes the output.

That’s scalable AI workflow automation.

And here’s the real opportunity.

Most agencies are still selling funnels and email sequences.

Very few are selling structured AI systems.

The ones who move early will charge more.

Because you’re no longer just building marketing.

You’re building intelligent automation.

This update moves HighLevel into a different category.

AI workflow automation is no longer a patchwork system held together by third-party tools. It’s native. Structured. Controlled.

You can now:

• Create AI tasks
• React to AI lifecycle events
• Continue AI logic chains
• Retrieve structured outputs
• Build multi-step intelligent systems

All inside your Workflow Builder.

That’s a serious shift.

Agencies that understand this won’t just use AI to generate content.

They’ll use AI to power processes.

Lead routing. Proposal drafting. Reporting. Onboarding. Internal operations. Everything becomes structured and automated.

And because this lives directly inside GHL, it’s easier to manage, easier to scale, and easier to sell.

Here’s the bottom line.

The agencies that win in the next wave of automation won’t be the ones with the most tools.

They’ll be the ones who build the cleanest systems.

If you’re already building workflows inside HighLevel, now is the time to experiment with Manus. Start small. Store your Task IDs. Build one structured chain. Watch how much manual work disappears.

That’s the power of real AI workflow automation.