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You don’t need to diagnose the problem before bringing it to me.
A client booked 30 minutes with me for something that technically worked, but didn’t feel sustainable.
❌ We didn’t start with templates.
❌ We didn’t start with automations.
❌ We worked backwards from the problem.
What’s actually getting in the way?
What needs structure?
Who needs access to what?
What should stay manual?
What, if anything, is worth automating?
The goal wasn’t to fit as many recommendations as possible into 30 minutes.
It was to make sure we were solving the right problem first.
Her review afterwards mentioned something I particularly appreciated: that I took the time to understand both the business and the broader context before recommending what should happen next.
That’s probably the simplest explanation of how I work.
Sometimes the answer is a better workflow.
Sometimes it’s clearer ownership.
Sometimes it’s automation.
Sometimes the process shouldn’t exist in the first place.
Bring me the problem. We’ll figure out what actually needs to happen next.
Until the next problem,
Marilit
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🚀 My First AI Automation Project with n8n
I recently built my first automation project — an AI-Powered Invoice Extraction & Tracking System.
The problem I wanted to solve was simple:
Imagine a business receiving dozens of invoices or cash memos every week. Someone has to open each file, read the information, and manually enter the vendor name, date, items, total amount, and category into a spreadsheet.
That’s repetitive, time-consuming, and easy to get wrong.
So I built a workflow where:
📂 An invoice is uploaded to Google Drive
→ 🤖 Gemini AI reads and extracts the invoice data
→ ⚙️ n8n processes and validates the information
→ 📊 The data is automatically added to Google Sheets
The best part?
No manual data entry. Just upload the invoice and the rest happens automatically.
While building it, I also worked with things like workflow triggers, loop control, API errors/retries, and handling multiple files.
For me, this project was less about simply “building an n8n workflow” and more about learning how AI + automation + data workflows can solve real business problems.
This is just my first step into AI automation, and I’m excited to build more practical systems like this.
If your business has a repetitive process that could be automated with AI, n8n, or data workflows, feel free to DM me. I’d be happy to discuss it.
#AIAutomation #n8n #Automation #ArtificialIntelligence #DataAnalytics #DataAnalyst #WorkflowAutomation #GenerativeAI #BusinessAutomation #AI
Smart pipeline! Have you added strict JSON schema validation after Gemini extracts the invoice fields? Found that it stops edge case hallucinations before the data ever hits Sheets.
Impressive work
We were hired to turn a vibe-coded MVP into a proper autonomous finance ops product.
Early users felt something was off, but couldn’t quite say what.
One of the first things we found was onboarding: 20+ screens, all technically justified.
So we asked what actually needed the user, and what AI could quietly handle in the background.
We got it down to 8 screens.
Less friction, same outcome, much better start.
A few screens from it
