Paul Effiong
Ai Automation | simplifying operations for founders
I recently built this workflow in n8n to automate the first stage of handling customer support requests.
The idea was to take an incoming ticket and let the system handle the repetitive work:
→ Receive the customer request through a webhook
→ Process and structure the incoming data
→ Use an AI Agent to understand the ticket
→ Classify it as Genuine, Spam, or Unclear
→ Route it based on the classification
→ Trigger the appropriate email action
→ Log the interaction in Google Sheets
I also added an Unclear path so that tickets the AI isn’t confident about don’t get blindly processed.
The goal isn’t to remove humans from customer support.
It’s to reduce the repetitive sorting and routing work, so the team can spend more time on the requests that actually need their attention.
Would you automate customer support differently? I’d love to hear how you’d approach it.
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Built an AI-powered Telegram assistant for automated message handling.
It receives incoming messages, processes them with an AI model, understands the context, and sends back relevant responses automatically.
The goal with workflows like this is simple: take a repetitive communication process and turn it into something that runs efficiently in the background without needing someone to handle every message manually.
This is the kind of AI automation I build practical systems that connect tools, handle processes, and help businesses save time.
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I’m currently building a RAG system for an e-commerce company, basically giving an AI assistant access to the company’s own knowledge and product information so it can give useful, context-aware responses instead of just generating random answers.
The interesting part isn’t just connecting an LLM.
It’s making sure the AI can:
→ Find the right information
→ Understand the user’s question
→ Retrieve relevant context
→ Give an accurate response
→ Actually be useful in a real business workflow
Still working on it, but I’m excited about where it’s going.
This is the kind of AI automation I enjoy building, systems that solve actual business problems, not just AI demos.
Building something similar? Let’s talk.
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Built an AI-powered Gmail automation workflow that classifies incoming emails, generates context-aware responses, applies labels, and routes messages based on intent. The workflow handles consultations, course inquiries, payments, and support requests automatically, reducing manual work while ensuring every email receives a timely and accurate response.
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