Autonomous AI Agent System for Sales & Workflow Automation

Overview

Designed and built a multi-agent AI system to automate sales and operational workflows for a growing B2B company. The system uses autonomous agents for lead research, data enrichment, lead scoring, and personalized outreach generation, orchestrated through a stateful workflow architecture with built-in validation and self-correction.

Stateful Multi-Agent Workflow

1. 01
   Lead Research Agent

   Pulls signals from web, CRM, and enrichment APIs.
2. 02
   Enrichment Pipeline

   Normalizes and validates firmographic + persona data.
3. 03
   Scoring Engine

   LLM + heuristic hybrid scoring with explainability.
4. 04
   Outreach Generator

   Personalized multi-channel sequences with guardrails.
5. 05
   Validation Loop

   Self-correction layer rejects low-confidence outputs.

Key capabilities

• Stateful workflow orchestration with LangGraph
• Self-correcting agents with critique loops
• Cost-aware model routing across providers
• Full observability and replayability