Ramy — AI Agent System

Neel Networks needed an AI-powered sales assistant to engage website visitors 24/7, qualify leads automatically, handle objections intelligently, and reduce dependency on the human sales team — while keeping AI API costs under strict control.

Built 'Ramy' — a production AI agent with 8 specialized sub-agents orchestrated through LangGraph. The system uses a 3-tier cost optimization pipeline: Rule Engine (free pattern matching) → Claude Haiku (cheap, for simple queries) → Claude Sonnet (quality, for complex conversations). Each visitor conversation is classified across 13 intent categories, scored as HOT/WARM/COLD, and automatically triggers email notifications for qualified leads.

The architecture includes a knowledge base of 196 vector chunks in Qdrant, covering 49 portfolio projects across 17 industries, 51 crawled web pages, 40 FAQs, and 15 service descriptions. The system tracks conversation phases (Discovery → Exploration → Interest → Evaluation → Conversion) and adjusts agent behavior accordingly.

Two dashboards were built: a Client Dashboard for the sales team (leads management, conversation replay, analytics) and a Developer Panel for prompt engineering (prompt editor with version history, cost dashboard, knowledge base browser).