AI Document Processing Assistant — Portfolio Case Study

Live demo: https://stebenix.github.io/ai-document-processing-assistant/

An AI Integrator portfolio case study for automating document-heavy finance operations — from document intake and OCR/LLM extraction to validation rules, human review, audit trail, and ERP-ready export.

What this project shows

• AI document intake from email, DMS and PDF upload
• OCR + LLM-style field extraction workflow
• Validation rules for IBAN, VAT, PO matching and ERP export readiness
• Human review queue and audit-ready governance logic
• Integrations screen with connected systems and connector health
• Analytics dashboard with operational KPIs
• Responsive desktop, tablet and mobile navigation

Tech stack

• Vite
• Vanilla JavaScript
• HTML/CSS
• Responsive dashboard UI

Run locally

npm install
npm run dev

Then open the local URL shown in the terminal.

Build for production

npm run build
npm run preview

The production build is generated in dist/.

Deploy

This project can be deployed to GitHub Pages, Vercel or Netlify.

GitHub Pages auto-deploy

A ready GitHub Actions workflow is included in .github/workflows/deploy.yml. After pushing to the main branch, enable GitHub Pages in repository settings and select GitHub Actions as the source.

For Vercel/Netlify: import the GitHub repository and use:

• Build command: npm run build
• Publish directory: dist

Portfolio note

Portfolio case study by Oleksandr Stebeniev · 2026.