Building Your First AI Automation Workflow with n8n

docker run -it --rm   --name n8n   -p 5678:5678   -v ~/.n8n:/home/node/.n8n   n8nio/n8n

Building the Workflow

Step 1: Webhook Trigger

Add a Webhook node as the trigger. This gives you a URL to receive form submissions.

Step 2: Process with AI

Add an OpenAI node to analyze the feedback:

• Model: gpt-4
• Messages: Include the feedback text
• Prompt: "Analyze the sentiment (positive/negative/neutral) and categorize this feedback into one of: pricing, features, support, other"

Step 3: Add Conditional Logic

Use an IF node to route:

• Negative feedback → alert channel (urgent)
• Positive feedback → weekly digest
• Feature requests → product team

Step 4: Store Results

Add a Google Sheets node to log:

• Timestamp
• Original feedback
• Sentiment score
• Category
• Action taken

Step 5: Notify Team

Add a Slack node to send notifications with the analysis results.

Advanced: Add Memory

Use n8n's workflow memory to track feedback trends over time and generate weekly reports automatically.

Real-World Example

A SaaS company in Casablanca uses this exact workflow:

• Processes 500+ feedback entries per week
• Response time to negative feedback dropped from 48 hours to 2 hours
• Product team gets structured feature requests weekly
• Customer satisfaction score improved by 22%

Next Steps

Our AI Automation & Tools programme teaches n8n, Make, and custom automation building in depth.