AI Lead Generation & Automation System Development

A client needed a scalable way to consistently generate qualified leads without manually searching, researching, and filtering prospects every day. Their team was spending several hours daily collecting contacts, checking company information, and deciding whether leads were worth contacting.

The process was slow, inconsistent, and difficult to scale.

I designed and deployed an end-to-end AI automation system that automatically finds, enriches, qualifies, and organizes leads into a ready-to-contact pipeline.

Before automation, the workflow looked like this:

• Manual prospect research • Copy-pasting company data • Checking websites and LinkedIn profiles • Guessing lead quality • Updating spreadsheets manually

This resulted in:

Hours of daily repetitive work

Human errors in data

Unqualified prospects entering the pipeline

Inconsistent outreach performance

The client wanted a system that could operate continuously without requiring a dedicated employee.

I built an automated lead acquisition and qualification system using n8n and AI processing.

The system automatically:

Collects business leads from online sources

Enriches company and contact information

Analyzes company websites using AI

Determines whether the business fits the client’s ideal customer profile

Scores and labels lead quality

Stores qualified leads into an organized database

The entire pipeline runs without manual intervention.

n8n workflow automation

OpenAI processing & classification

Google Sheets database

API integrations & webhooks

Key Features • Automatic lead discovery • AI website analysis • Ideal Customer Profile (ICP) filtering • Lead scoring & tagging • Organized CRM-ready database

After deployment:

• Lead research time reduced by ~80–90% • Continuous lead flow without manual work • Only qualified prospects entered the outreach stage • Outreach became consistent and predictable

The client could now focus only on contacting pre-qualified prospects instead of searching for them.

Instead of hiring a lead researcher or VA, the client now had a 24/7 automated lead pipeline operating in the background.

The system effectively replaced multiple repetitive tasks and created a scalable outbound sales foundation.

This was not a simple scraper or contact finder.

The system uses AI reasoning to evaluate whether a company is actually relevant before it reaches the client’s outreach stage. It acts as a digital research assistant + data analyst combined.

The workflow continues to run automatically and can be adapted to different industries by adjusting the Ideal Customer Profile rules and AI qualification logic.