Agentic Systems

Autonomous Sales Development Representative

1,000+ leads/day
LangChainFastAPIOpenAIn8nPostgreSQL

Key Results

  • ◈1,000+ leads processed per day by the autonomous pipeline
  • ◈Sales team shifted from outreach to closing — focused 100% on booked calls
  • ◈Consistent message quality across every lead
  • ◈24/7 operation — outreach runs through nights and weekends

Tech Stack

LangChainLangGraphFastAPIWebSocketsOpenAIn8nPostgreSQLRedisasyncio

The Problem

The client's sales team was spending the majority of their time on manual prospecting and outreach — sourcing leads from multiple platforms, researching each company and contact, writing personalized messages, and tracking follow-ups. It was slow, inconsistent, and completely unscalable.

They needed to 10× their outreach volume without 10×-ing their headcount.

Our Solution

We designed and built a fully autonomous AI SDR (Sales Development Representative) platform — a multi-agent pipeline where each agent handles a distinct part of the sales development workflow.

The system runs 24/7. It sources leads from configured channels, passes them through an AI qualification layer, researches each company and person using web intelligence agents, generates hyper-personalized outreach messages tailored to the prospect's context, and executes outreach across email and LinkedIn.

No human touches individual leads. The human team only reviews booked calls.

Architecture

Lead Sourcing Agent → Qualification Agent → Research Agent → Personalization Agent → Outreach Execution Agent → CRM Update Agent → Follow-up Scheduler

Orchestration: LangGraph state machine
Persistence: PostgreSQL (lead state), Redis (job queue)
API: FastAPI with WebSocket streaming for live pipeline status
Outreach execution: n8n workflows + email/LinkedIn APIs

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