AI-Powered Lead Qualification Agent
Sarah Onosigho
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Posted Jun 3, 2025
Developed an AI-powered lead qualification agent using n8n for automation.
Project Title:
🤖 AI-Powered Lead Qualification Agent (Built on n8n)
Project Type:
Automation / AI Agent
Project Description:
Problem: High-growth companies drown in inbound leads—but manually qualifying them is slow, expensive, and inconsistent. Arbitrary rules (like "no companies under 10 employees") often reject valuable opportunities.
Solution: An AI Agent that:
Automatically researches leads (scraping websites/LinkedIn).
Evaluates fit using flexible criteria (e.g., industry, budget, use case).
Triggers instant next steps: Routes qualified leads to sales or redirects others to partners—with personalized replies.
Impact:
âś” 24/7 qualification with human-like judgment
âś” Faster sales cycles (no more lag between lead submission and outreach)
âś” No missed opportunities from rigid filters
Key Features:
Dynamic Decision-Making: AI analyzes lead data (e.g., company size, website content) instead of relying on static rules.
Seamless Integration: Works with CRMs, email, and Slack via n8n.
Polite Autonomy: Replies to unqualified leads with helpful alternatives (e.g., partner referrals).
Process:
Lead submits a form.
AI scrapes their website/LinkedIn.
Agent assesses fit based on custom prompts (e.g., “Is this a SaaS company with 50+ employees?”).
Action: Routes to sales or sends a decline template.
Tools Used:
n8n (workflow automation)
OpenAI (LLM for decision-making)
Relevance AI (web scraping)
Why This Matters:
Most lead qualifiers are reactive—this agent acts like a proactive sales assistant, freeing teams to focus on closing, not filtering.