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How to Build a Workflow with Plain English

How to Build a Workflow with Plain English


Tip

Before You Start

Know what you want the automation to do before you open the builder. The more specific your description, the better the AI output. 'Send a welcome email when someone fills a form' is better than 'make a welcome sequence'.

Video WalkthroughScreen recording: Automation > Workflows > New Workflow > Build with AI, entering a prompt, reviewing the generated steps, editing the email content, testing with a contact, and publishing.

Workflows are the backbone of a business that runs without you having to be present for every interaction. Every time someone fills in a form, buys a product, or misses a session, a workflow is what decides what happens next. Building them used to require understanding triggers, conditions, delays, and action types. Workflow AI removes most of that friction.

As part of GOHighLevel's 2026 AI suite now available in MONDAi, Workflow AI lets you describe what you want in plain language and generates the framework for you. You review, refine, and publish. Build time for a standard welcome sequence dropped from 45 minutes to under 10 for most users.

Steps

  1. Open the Workflow Builder

    Go to Automation → Workflows and click New Workflow. You will see the option to start from blank, from a template, or Build with AI. Click Build with AI.

  2. Describe your automation in plain English

    A text input will appear. Type what you want the workflow to do. Be specific about the trigger, the actions, and any timing. Here are examples at different levels of detail:

    • Basic: "When someone fills in my discovery call form, send them a confirmation email and a reminder 24 hours before the call."
    • Better: "When a contact submits the form tagged Discovery Call, wait 5 minutes then send a confirmation email, add the tag Prospect, and create a task for me to review their form answers. 24 hours before the appointment send a reminder SMS."

    The second prompt generates a significantly more useful workflow structure.

  3. Review the generated workflow

    The AI builds a workflow and displays it in the visual builder. Examine each node: the trigger, the conditions, the wait steps, the actions. What it generates is a structure, not a finished workflow. You will need to fill in content like email subject lines, message copy, and any specific field mappings.

  4. Edit and complete the workflow

    Click each action node to complete it. Write or paste your actual email content. Adjust any wait times to match your real offer timeline. If the AI included a step you do not need, delete it. If it missed something, add it. The AI builds the skeleton. You add the substance.

  5. Test with a real contact

    Use the Test Workflow option and select a test contact. Walk through the full sequence. Confirm emails arrive, tags apply, tasks create, and SMS messages deliver. Testing in the builder interface shows you the logic but does not replace a live test send.

  6. Publish

    Toggle the workflow to Active. It will now fire for any contact that meets the trigger condition. Monitor the workflow's activity log for the first 24 to 48 hours to confirm it is running as expected.

Common mistakes
  • Publishing without reading every generated step. Workflow AI creates plausible structures but it does not know your specific programs, your email voice, or your offer timelines. Always read every node before activating.
  • Using vague prompts. 'Make a follow-up sequence' will generate something generic. Specific prompts generate useful workflows. Include the trigger, the actions you want, the timing, and any tags or conditions.
  • Not testing with a real contact. The logic preview is not the same as a live run. Use a real test contact that will actually trigger the workflow and follow it all the way through.
  • Leaving placeholder content in email steps. AI-generated workflows often include placeholder text in email bodies. Read every email step and replace all placeholder copy before going live.

Next steps

Still stuck?

Press ⌘K to search every article, or email support@mondai.io.

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