Building an Autonomous B2B Lead Enrichment & ICP Scoring Agent with n8n and LangChain

Description and use

<p>Manual lead qualification and CRM updates can become a surprisingly expensive time sink for early-stage SaaS and engineering teams.</p> <p>The workflow is usually the same:</p> <p>A lead submits a form → someone checks the company → someone researches the role and company size → someone decides whether the lead matches the ICP → someone updates the CRM or alerts sales.</p> <p>You can automate most of that pipeline with <strong>n8n</strong>, a company enrichment API, and an LLM-based evaluation step.</p> <p>In this guide, we'll build the architecture behind an autonomous B2B lead qualificati

Problem

<p>Manual lead qualification and CRM updates can become a surprisingly expensive time sink for early-stage SaaS and engineering teams.</p> <p>The workflow is usually the same:</p> <p>A lead submits a form → someone checks the company → someone researches the role and company size → someone decides whether the lead matches the ICP → someone updates the CRM or alerts sales.</p> <p>You can automate most of that pipeline with <strong>n8n</strong>, a company enrichment API, and an LLM-based evaluation step.</p> <p>In this guide, we'll build the architecture behind an autonomous B2B lead qualificati

Outcome

<p>Manual lead qualification and CRM updates can become a surprisingly expensive time sink for early-stage SaaS and engineering teams.</p> <p>The workflow is usually the same:</p> <p>A lead submits a form → someone checks the company → someone researches the role and company size → someone decides whether the lead matches the ICP → someone updates the CRM or alerts sales.</p> <p>You can automate most of that pipeline with <strong>n8n</strong>, a company enrichment API, and an LLM-based evaluation step.</p> <p>In this guide, we'll build the architecture behind an autonomous B2B lead qualificati

Evidence

Building an Autonomous B2B Lead Enrichment & ICP Scoring Agent with n8n and LangChain

Source