AI Lead Qualification & Routing System (Built End-to-End)

Hey everyone,

I recently built an AI-powered lead qualification and routing system designed to automate how inbound leads are evaluated and distributed across a sales pipeline.

Here’s what the system does:

• Captures inbound leads (from Facebook Ads) via webhook

• Normalizes and validates incoming data

• Checks historical lead data to identify new vs. returning prospects

• Uses AI to score intent and classify each lead

• Logs AI decisions for transparency and auditability

• Automatically routes leads to Sales, Nurture, or Discard

• Updates HubSpot accordingly

• Sends real-time Slack notifications for high-intent prospects

How It Works

Once a lead enters the system, it goes through a structured validation and enrichment layer before being passed into an AI decision engine.

The AI evaluates intent and recommends the next best action. Based on that recommendation, the workflow automatically routes the lead to the appropriate pipeline while maintaining clean CRM data and logging all decisions.

The architecture is modular and production-ready, meaning it can scale across different lead sources and CRM environments.

Benefits

• Eliminates manual lead qualification

• Improves response time for high-intent leads

• Keeps CRM clean and structured

• Reduces sales team workload

• Scales automatically as lead volume increases

If anyone’s interested, here’s a complete overview of the workflow where I walk through the full system architecture:

👉 https://youtu.be/CknV7KcYVWA

Happy to answer questions or discuss improvements.

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