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AI-powered WhatsApp Invoice Assistant built with n8n
This automation allows users to send an invoice as an image or PDF through WhatsApp. The workflow validates the incoming message, detects the file type, retrieves and downloads the invoice, then uses AI to analyze and extract key information such as the supplier, invoice number, date, items, taxes, currency, total amount, payment status, and important notes.
The extracted information is automatically structured into a clear and easy-to-read response and sent back to the user directly on WhatsApp.
Tech stack: n8n, WhatsApp, AI, REST APIs, Webhooks, JavaScript.
Goal: Reduce manual invoice processing and turn unstructured invoice documents into actionable information within seconds.
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Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
TOP!
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
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
