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AtlasRepo

Build a B2B Lead Engine With AI Agents (No New SDRs Required)

Description and use

AI agents automatically research, qualify, and personalize leads, eliminating the need for new SDRs and improving outreach relevance.

Problem

Traditional SDR stacks rely on high-volume email blasts that suffer from low deliverability and relevance, making scaling costly and ineffective.

Outcome

The system delivers highly relevant, personalized outreach at machine speed, eliminating the need for additional SDRs and reducing cost per lead.

Workflow

  • 1. Sourcing Agent pulls intent signals (job changes, funding, tech shifts) to create a candidate list.
  • 2. Research Agent enriches each account, scrapes sites, reads posts, and writes a brief.
  • 3. Qualification Agent scores leads against ICP and outputs a route (sdr, nurture, drop).
  • 4. Outreach Agent drafts personalized cold emails based on the brief.
  • 5. n8n workflow orchestrates triggers, API calls, branching, CRM updates, and staggered sending.

Evidence

The old funnel is broken… Adding people just adds cost to a broken process.

Source

Think of your lead engine as a directed graph of agents, not a single mega-prompt.

Source

The workflow runs 24/7, costs pennies per lead, and never gets bored of research.

Source

  • Record date: 2026-09-21T07:30:31.368Z