Reference ImplementationCategory: AI | Sector: IT Outsourcing & B2B Sales

Autonomous AI Lead Research & Scoping Agent

The Operational Bottleneck

Identifying qualified software procurement leads required extensive manual web searching and company research.

INFERIX Solution

Designed a multi-agent AI system utilizing MCP tools to research target company tech stacks and score project fit.

System Topology Blueprint

Production Architecture

Client App / Web UI <---> API Gateway (FastAPI) <---> Auth & Permissions (JWT/RBAC) | +----------------------------------+----------------------------------+ | | | [pgvector / PostgreSQL] [Redis Cache / Queue] [Claude API / LLM] Vector Embeddings Storage Session & Task State RAG & Reasoning

Key System Features

Autonomous website technology stack detection

Qualification scoring (0-100 fit index)

Automated proposal brief generation for sales review

Technologies Used

Python 3.11MCP (Model Context Protocol)Claude APIPostgreSQLn8n

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