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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I automated my entire customer onboarding process using one n8n workflow.
Dropping the ball on day one costs you lifetime customers.
You close a deal. The client is excited.
Then your team forgets to send the welcome package.
Or you pay a customer success manager $70k a year to manually trigger emails and update the CRM.
It is a slow, expensive bottleneck.
I stopped relying on human memory for week-one operations.
Here is exactly what this architecture executes:
→ Data Capture: A webhook catches the new signup and validates the client info.
→ Instant Action: It builds the HubSpot profile and alerts the team via Slack.
→ Time-Delay Sequences: Welcome email instantly. Docs at hour 2. Check-in at day 1. Success guide at day 3.
→ The Loop: It updates the CRM status the moment onboarding is complete.
Here is the ROI:
→ Zero manual admin work for your team
→ Flawless, professional first impressions
→ Week-one client churn dropped to absolute zero
If you want to work with me to build a similar automation in your business, I have a few spots open in my calendar this month.
Book a call here
🚀 Automated AI Document Processing & ATS Pipeline (n8n)
Project Summary
Replaced a manual candidate screening process with a fully automated, n8n-orchestrated backend pipeline. The system automatically intercepts incoming applications, uses OpenAI to analyze documents, updates databases, and triggers client communication—cutting manual data entry down to zero.
The Outcome & Business Value
Eliminated Manual Data Entry: Automated 100% of resume parsing, document conversions (Docs to PDF), and data extraction tasks.
Instant Candidate Screening: Integrated an OpenAI Chat Model Decider to evaluate incoming resumes against job descriptions in real-time with zero human delay.
Automated Sync & Follow-Ups: Automated instant logging to Google Sheets and launched immediate multi-path email responses based on candidate status.
How It Works (System Architecture)
Phase 1 (Ingestion & Extraction): Captures files via webhooks/emails ➡️ Cleans data via custom code nodes ➡️ Parallel-processes files to extract raw text ➡️ Uses AI structured parsing to match applicants to open roles.
Phase 2 (Database & Delivery): Routes structured applicant data ➡️ Upserts matching rows into a centralized tracking database ➡️ Triggers dynamic conditional emails back to candidates.
AI RAG Pipeline & Knowledge Base Chatbot Automation Built with n8n
My role. AI Automation Engineer | n8n & RAG, AI Chatbot Developer
Project description. Built an end-to-end RAG (Retrieval-Augmented Generation) pipeline and AI chatbot using n8n. The workflow automates knowledge ingestion, processing, context retrieval, and LLM-powered response generation. It demonstrates how business knowledge can be connected to an AI assistant to provide more relevant and grounded answers. The solution can be adapted for customer support, internal knowledge bases, document Q&A, and AI-powered business automation.
Skills and deliverables
n8n
CRM Automation
API Integration
Chatbot Development
LLM Prompt Engineering
