Objective: > The primary goal of this project is to save HR teams 10-15 hours a week by automating repetitive employee policy questions (leaves, payroll, IT). I built a 24/7 AI Assistant using a private Vector Database (RAG approach) to ensure 100% accurate, hallucination-free answers based ONLY on internal company documents.

​Time taken to build: > 1 Week (including workflow architecture, testing, and deployment).

​Pricing: > Custom pilots start at $500. Full-scale enterprise deployments range from $1,000 - $2,500+ depending on the complexity of the company's knowledge base.

​Tools Used: > n8n (Workflow Automation), Google Gemini AI, Supabase (Vector Database), Document Loaders, text splitters, and Webhook APIs.

​Role: > Built independently from scratch as an AI Automation Founder.