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Goal:

Automate the client onboarding workflow end-to-end, reducing manual operations and centralizing documentation using AI and automation tools.

Problem:

The team was spending 30โ€“45 minutes manually onboarding each new client, which included:

This resulted in delays, inconsistencies, and wasted operational time.

Solution:

I created a fully automated onboarding flow using n8n, AI, and integrated tools. It now takes < 2 minutes with 100% consistency and documentation across all platforms.


๐Ÿ”น Step 1:

Trigger โ€” Form submission by the client (e.g., via Typeform)

๐Ÿ”น Step 2:

Extract PDF info (e.g., onboarding form responses or agreements)

๐Ÿ”น Step 3:

Once the file is extracted, we rename the document using dynamic data from the onboarding form.

I extract a key field from the JSON โ€” such as the client name, project info, or custom identifier โ€” and map it to the file name.

How it works:

Why it matters:

No more generic or messy filenames like Form1234.pdf โ€” now every document is client-tagged and automation-ready

๐Ÿ”น Step 4:

Create a main folder in Google Drive for the client

๐Ÿ”น Step 5:

Rename the folder ID to a readable name

๐Ÿ”น Step 6:

Create a folder in ClickUp.

Why ClickUp?

ClickUp serves as our centralized project management system, allowing us to track onboarding progress, assign tasks, set due dates, and collaborate efficiently across teams. Integrating it into our automation ensures no manual setup is needed โ€” the entire task environment is pre-generated the moment a form is submitted.

How it works:

Key benefits:

This is where process meets productivity โ€” building ClickUp folders automatically helps the team hit the ground running with every new client.

๐Ÿ”น Step 7:

Create a list in ClickUp inside the new folder

๐Ÿ”น Step 8:

Use OpenAI to segment the onboarding PDF into specific tasks

๐Ÿ”น Step 9:

We use the Structured Output Parser node to define the schema from the OpenAI response. Then we loop over each task using the "Loop Over Items" node, so each one can be processed individually.

Example parsed format:

json
CopyEdit
{
  "title": "Call Scheduling",
  "description": "Schedule and confirm call with the client and internal team.",
  "due_date": "11/20/2025"
}

๐Ÿ”น Step 10:

Split the tasks for looping

๐Ÿ”น Step 11:

Loop over each task and create a task in ClickUp

๐Ÿ”น Step 12:

Send a welcome email to the client

๐Ÿ”น Step 13:

Post a Slack message to notify internal team

๐Ÿ”น Step 14:

Create a Notion page with all client onboarding info. Workflow ends โ€” fully onboarded and documented


Tools Used:

Impact:

๐Ÿง Learnings:

Screenshot 2025-07-01 165441.png

๐Ÿ“‚ Download & Explore the Workflow

View GitHub Repository :

ai-client-onboarding-automation-n8n/AI Client Onboarding Automation_JSON_.json at main ยท AlvLeoAI/ai-client-onboarding-automation-n8n