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AtlasRepo

Automate Customer Onboarding with AI Agents

Description and use

An LLM‑powered agent in n8n automatically greets new users, collects and validates data, creates a CRM record, and sends a welcome email—fully hands‑free.

Problem

Manual onboarding requires human intervention to greet new users, validate data, create CRM records, and send welcome emails, leading to delays and errors.

Outcome

The pipeline runs 24/7, scales automatically, and eliminates human error in onboarding.

Workflow

  • Spin up an n8n Docker container
  • Install CrewAI in the same environment
  • Set OpenAI API key as an environment variable
  • Create onboarding_agent.py defining a CrewAI crew
  • Expose a /onboard webhook in n8n
  • Call the CrewAI agent from a Run Python Script node
  • Parse the JSON output
  • Create a CRM record via webhook
  • Send a welcome email via an email service

Evidence

The result is a hands‑free flow that greets new sign‑ups, verifies their data, creates a record in the CRM, and sends a personalized welcome email without any human touching the process.

Source

Typical build time: 8-12 hours for a developer familiar with Python and n8n.

Source

  • Record date: 2026-09-08T15:30:30.052Z