AI Workflow Testing in GoHighLevel: Build, Test, and Fix Workflows Faster

AI Workflow Testing now lives right inside the AI Builder chat in GoHighLevel.

Every time AI Builder creates or edits a workflow, its reply can end with a Test workflow button. That means you don’t have to leave the conversation, hunt for another testing area, or dig through logs before you know whether the workflow is behaving properly.

Once you click Test workflow, GHL gives you two ways to run the test. You can enroll a contact, or you can test using events. If you choose a contact, you can review that contact’s data before the run starts so you know exactly what information the workflow is working with.

When you start the test, the workflow canvas updates live. Each step can show a status such as Running, Success, Action skipped, or End. At the same time, AI Builder lists the run step by step inside the chat so you can follow what happened without jumping between screens.

When the test finishes, AI Builder gives you a plain-language summary. It tells you which steps ran, which steps were skipped, and whether anything failed because of missing data or another issue.

You can also click individual workflow steps on the canvas to inspect the Input and Output from the test. That makes AI Workflow Testing much more useful than a simple pass-or-fail check because you can see what data actually moved through each step.

And if you make a change, you don’t have to start from scratch. Just click Run another test and check the workflow again.

AI Workflow Testing matters because building the automation was never the only job. The real challenge was making sure it worked before a live lead or customer entered it.

AI Builder already made it faster to create workflows in GoHighLevel. But after the build, users still had to switch gears, run separate tests, and dig through execution details to understand what happened. That slowed everything down.

Now the build and test process sit much closer together.

You can describe the workflow, let AI Builder create or edit it, run the test, and review the result from the same working area. That cuts down on extra clicks and makes troubleshooting easier.

For agencies, that can save a lot of time. A workflow might look perfect on the canvas but still fail because of missing contact data, a skipped condition, or a step that doesn’t behave the way you expected. AI Workflow Testing helps uncover those problems before the automation goes live.

It also makes the test results easier to understand. Instead of relying only on logs, you get live step statuses and a plain-language summary from AI Builder. That means less guessing and faster fixes.

The biggest benefit is simple: you can move faster without flying blind.

You still need to test carefully because the workflow actions are real, but now GHL gives you a much clearer way to check your work before publishing.

AI Workflow Testing lets you build or edit a workflow with AI Builder, then test that workflow directly from the same chat. You will first turn on the required Labs feature, open the workflow area, use AI Builder, choose how you want to test, run the workflow, review the results, and then test again if you make changes.

This feature is currently enabled through HighLevel Labs, so you need to turn on The New Test Workflow before you can use the testing option inside AI Builder.

Here are the steps you will follow:

• Turn On The New Test Workflow in HighLevel Labs
• Access the Workflows Page in GoHighLevel
• Open a Workflow and Access AI Builder
• Build or Edit the Workflow With AI Builder
• Open the Test Workflow Section
• Choose How You Want to Test the Workflow
• Start the Workflow Test Run
• Review the AI Workflow Testing Results
• Review the Input and Output for a Workflow Step
• Run Another Test and Publish the Workflow

To start make sure you are logged in to your GoHighLevel sub-account.

The first thing you need to do is enable the Labs feature that controls this new testing experience.

1.1 Click the Labs option in your GoHighLevel account.

• This opens the Labs Page, where HighLevel makes new or experimental features available before they become part of the standard platform experience.

1.2 Find The New Test Workflow in the available Labs features.

• Use the Labs search or browse the available features until you find the correct option.

1.3 Turn on The New Test Workflow.

• Once enabled, the new workflow testing experience becomes available inside supported workflows and AI Builder.
• If you do not see the testing option later in this guide, return to Labs and confirm this feature is still turned on.

The main menu on the left side of your screen includes all the main areas you work in when using GHL.

2.1 Click Automation in the main menu.

• Inside the Automation section you will find Workflows and other automation tools.

2.2 Click Workflows in the top menu if the Workflow List Page is not already showing.

• The Workflow List Page contains the workflows in your sub-account.
• You can open an existing workflow or create a new one from this page.

• You now need to open the workflow you want AI Builder to create, edit, or test.

2.3 Click the workflow you want to work with.

• The selected workflow opens in the Workflow Builder Page.
• You will see the workflow canvas and the steps currently included in the automation.

2.4 Open AI Builder inside the workflow.

• The AI Builder section opens inside the Workflow Builder.
• This is where you can describe the workflow you want AI to build or explain the changes you want AI to make.

Use AI Builder to create the workflow or make the changes you want before testing.

3.1 Enter your workflow instructions into the AI Builder chat.

• Describe what you want the workflow to do in clear, direct language.
• You can ask AI Builder to create a new workflow structure or change an existing workflow.

3.2 Submit your instructions to AI Builder.

• AI Builder processes your request and builds or edits the workflow on the canvas.
• Review the workflow after AI Builder finishes so you understand what was added or changed.

After AI Builder finishes creating or editing the workflow, its reply includes the option to test what it built.

4.1 Click Test workflow in the AI Builder reply.

• The workflow testing section opens directly inside the AI Builder chat.
• You do not need to leave the workflow or open Execution Logs to begin the test.
  • GoHighLevel gives you more than one way to begin the test.

4.2 Choose Enroll a contact or Test using events.

• Use Enroll a contact when you want to run the workflow using a specific contact record.
• Use Test using events when the workflow needs to be tested using event-based conditions.

4.3 If you choose Enroll a contact, select the contact you want to use.

• GoHighLevel loads the selected contact into the test.
• Use your own contact or a dedicated internal test contact when you do not want a real customer to receive workflow actions.

4.4 Review the contact data before starting the test.

• Check the information that the workflow may depend on.
• This can include contact details, tags, custom fields, or other data used by workflow conditions and actions.
• Missing or incorrect data can cause actions to be skipped during the test.

Once your testing method and contact data are ready, you can run the workflow.

4.5 Click Start test run.

• GoHighLevel begins running the workflow using the test setup you selected.
• This is a real workflow test, not a visual preview.

Important: Workflow actions can actually run during the test. Tags may be added, notes may be written, and messages may be sent. Use an internal test contact when you do not want to reach a customer.

The Workflow Builder Page shows the test as it moves through each workflow step.

5.1 Watch the workflow steps on the canvas as the test runs.

• Each step reports its current result.
• You may see Running, Success, Action skipped, or End.

5.2 Review the step-by-step results inside the AI Builder chat.

• AI Builder lists the workflow steps that ran.
• A check appears beside each step that completed during the test.

5.3 Read the test summary after the run finishes.

• AI Builder explains which steps ran.
• It identifies which steps were skipped.
• It also tells you if the test found errors or missing data.
• Do not assume an Action skipped result means the workflow is broken.
• A step may be skipped because the selected contact or test event did not meet the conditions required for that action.

You can inspect individual workflow steps when you need more detail about what happened.

6.1 Click the workflow step you want to review.

• The details for that tested step open.

6.2 Review the Input from the test run.

• The Input shows the information that entered the workflow step.
• Use this to check whether the step received the data you expected.

6.3 Review the Output from the test run.

• The Output shows what happened after that workflow action ran.
• Compare the Input and Output when a step behaves differently than expected.

If you change the workflow after reviewing the results, test it again before publishing.

7.1 Make the required changes to the workflow.

• Update the workflow logic, actions, conditions, or contact data based on what you found during the first test.

7.2 Click Run another test.

• GoHighLevel starts the testing process again so you can confirm the changes work as expected.

7.3 Repeat the test process until the workflow works the way you expect.

• Check the live canvas results.
• Review skipped actions.
• Inspect Input and Output where needed.

7.4 Save and publish the workflow when you are satisfied with the results.

• Testing is optional, so you can save and publish without running a test.
• For workflows that send messages, change contact data, or perform important automation actions, testing first gives you a much clearer picture of what will happen when real contacts enter the workflow.

AI Workflow Testing is most useful when you treat it like a quality check, not just a button to click before publishing.

Use a dedicated internal test contact whenever possible. That gives you a safe place to test tags, notes, messages, and other actions without risking an accidental customer touchpoint.

Make sure your test contact looks like a real lead. If your workflow depends on custom fields, tags, phone numbers, email addresses, or other contact data, fill those in before you run the test. A workflow can only react to the data you give it.

Pay close attention to any step marked Action skipped. A skipped step does not always mean something failed. It may simply mean the contact or event did not meet the conditions required for that action.

If something does not look right, open the step and review the Input and Output. This is one of the fastest ways to see whether the problem is coming from the workflow logic or the data being passed into the action.

Run another test after every meaningful change. Even a small adjustment to a condition, delay, message, or workflow action can change what happens later in the automation.

Most importantly, do not assume a workflow is ready just because AI Builder created it successfully. AI can speed up the build, but AI Workflow Testing is where you confirm that the automation actually behaves the way you expect.

AI Workflow Testing gives agencies and GHL users a faster way to move from idea to working automation without skipping the quality-control step.

A simple example is a lead follow-up workflow. You ask AI Builder to create a workflow that adds a tag, waits, sends a message, and updates the contact. Before this update, you may have needed to leave the build process and dig through logs to check whether everything worked.

Now you can test that workflow right inside AI Builder.

If one action gets skipped because the contact is missing a required field, you can see that in the test summary. You can then open the step, check the Input and Output, fix the contact data or workflow logic, and run another test.

That can save a lot of troubleshooting time.

For agencies managing several client accounts, this is especially useful. You can build workflows faster with AI, test them before launch, and catch obvious issues before a real lead enters the automation.

The biggest value is not just speed. It is having a clearer process for checking your work.

AI Workflow Testing gives you a practical way to build, test, fix, and retest before publishing. That means fewer surprises, less time spent digging through problems later, and more confidence when you put an automation into production.

AI Workflow Testing gives GoHighLevel users a much cleaner way to build, test, fix, and publish workflows.

AI Builder can now create or edit the workflow, launch a real test from the same chat, show each step as it runs, and explain the results in plain language. That removes a lot of the back-and-forth that used to slow down workflow testing.

For agencies, this makes the whole process more practical. You can build faster with AI, catch missing data or skipped actions earlier, and review the Input and Output before a workflow reaches a real lead or customer.

The main thing to remember is that these tests are real. Messages can be sent, tags can be added, and notes can be created. Use a safe internal test contact whenever you do not want to trigger actions on a customer record.

AI Workflow Testing does not replace good workflow planning. What it does is give you a faster, clearer way to check whether the automation actually works the way you intended.

Try it on your next AI-built workflow in GoHighLevel, run the test, review the results, make any fixes, and then publish with a lot more confidence.

Have you tried AI Workflow Testing inside AI Builder yet? Let me know how you plan to use it in your automations.