How We Automated Lead Processing with AI

How We Automated Lead Processing with AI

The Problem

The client — a B2B company receiving over 100 leads daily through various channels: email, website forms, and messengers. Processing each lead took an average of 15-20 minutes of manual work.

The Solution

We built an automated pipeline using n8n and AI models:

  1. Lead Collection — unified input via webhook from all channels
  2. Classification — AI determines lead type, priority, and target department
  3. Enrichment — automatic company information lookup
  4. Routing — lead is sent to the right manager with a prepared response

Results

  • Processing time: 2 hours → 5 minutes
  • Classification accuracy: 94%
  • First quarter ROI: 340%

Automation didn’t replace managers — it freed them to work with clients instead of routine sorting.