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Agentic AI System
AI Chatbot Platform
200+
Leads processed automatically per day
73%
Email open rate (vs 18% industry avg)
4h
Per day saved per sales rep
$0.04
Average cost per lead processed
01 The Problem
A US-based SaaS company's sales team was spending 4+ hours daily on repetitive lead research and outreach. They needed an AI agent that could autonomously qualify leads, personalize outreach, and log results to their CRM — without hallucinating.
02 Our Solution
We built a multi-model agentic system using a ReAct loop with GPT-4o for reasoning and Gemini for fast tasks. The agent used 4 custom tools: web research, CRM integration, email drafting, and a quality-scoring function. RAG with Pinecone provided company-specific context.
Key Engineering Highlights
→ ReAct agent loop with autonomous tool selection
→ RAG system with Pinecone vector DB for company context
→ Human-in-the-loop approval for high-value opportunities
→ Cost monitoring with automatic throttling at budget limits
→ Structured output validation preventing hallucinated data
Tech Stack
PythonDjangoGemini APIOpenAI GPT-4oLangChainPineconeFastAPIPostgreSQLCeleryRedis
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