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AI document automation workflow that turns PDFs, scanned files, invoices, purchase orders, and receipts into structured Excel/CSV data.
The system uses OCR and AI extraction to identify key fields, validate results, flag uncertain items for human review, and export confirmed data for business use.
This portfolio demo processed 15 synthetic documents in one batch: 13 completed, 2 flagged for review, and 0 failed.
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Lost 2 days building a complex n8n workflow. Here's what I learned.✌️
The project: A 12-node AI Receptionist automation for a luxury resort in Bangladesh. Multi-channel (WhatsApp, Telegram, Voice), 9 Google Sheets, Gemini API, payment automation, customer CRM.
What went wrong: Added a new voice integration node. Accidentally deleted the entire workflow.
Why it happened:
No JSON exports after milestones
No version control (Git)
Testing changes LIVE on production workflow
No documentation
Building locally with zero redundancy
The fix (now implemented):
✅ JSON backups after every 2-3 nodes
✅ GitHub versioning
✅ Clone workflows for testing
✅ Modular design
✅ Complete documentation
For automation professionals: You're not just builders—you're engineers.
Treat workflows like software:
Documentation
Version control
Backup strategy
Modular testing
Client delays = lost revenue + credibility damage.
Make the systems bulletproof.
How do you prevent data loss in your automation builds? 👇
#n8n #Automation #WorkflowAutomation #NoCode #LessonsLearned #make #AIAutomation #DataAnalyst #MachineLearning
I'd try restoring one of those JSON backups into a cloned workflow before the next handoff. That way you know it can actually get you running again.
Built an AI document processing workflow that extracts structured data from invoices and receipts using OCR and AI, validates extracted information, and stores results in Google Sheets for reporting and bookkeeping.
The automation significantly reduces manual data entry while improving consistency and processing speed.
OnyxDoc — AI Document Workflow & Automation Platform
Built OnyxDoc, an AI-enabled document workflow platform designed to turn document-heavy business processes into structured, automated workflows. The platform combines document processing, data extraction, workflow automation, review, and integrations to reduce manual work and move information through business processes more efficiently.
I lead the product strategy, architecture, AI systems, and engineering.
