How we automated document processing to save 50% of time
I sold this AI automation for $10,000.
Want to know how we cut document processing time by 50%?
So I met with an Australian migration visa company. They help businesses hire foreign talent legally. Their process was just brutal.
→ 8 hours per client. Every single day. → Using ChatGPT but hitting walls. → Long chats and constant reprompting. → Manual research and copy-pasting.
Sound familiar?
So we built an n8n workflow that changed everything. A custom GUI for uploads. 6 automated documents.
First, we tried one big agent. That failed. Poor performance. Too many hallucinations.
Then we tried something different. Each section got its own specialist agent. The title page? Dedicated agent. Labor market testing? Another agent. Salary justification? You guessed it.
Quality skyrocketed. Accuracy improved dramatically.
We fed each agent examples of their previous documents. Showed them exactly how to structure things. Tables. Bullet points. The works.
We added tools too. No more manual searching. Agents access Perplexity for deep research. Pull information directly into sections.
The result? 50% time savings. They can process double the documents now. Without hiring more people.
🔥 Here's a pro tip: when building workflows for clients, we focus on the n8n infrastructure. We give them the basic prompts, then they handle the prompt tweaking for their specific needs.
1 limitation: screenshots. Cloudflare blocked some protected sites. We're working on that.
This isn't just for migration companies. Legal documents. Medical underwriting. Insurance forms. Any document-heavy process can benefit.
🟣 First Connect with me, so I can DM you the workflow then, 🟣 Comment "NANOAGENT" to get my nanoagent framework guide
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