Project
Full AI Lead Generation & Qualification Automation
An end to end - AI handles lead research, enrichment, and scoring, while humans stay in control of final decisions and high-value opportunities.
At a glance
- Built for
- Businesses, sales teams, and agencies looking to automate lead generation and qualification.
- Sector
- Sales & Marketing / Lead Generation.
- Live since
- 2026-08
- The client rated it
What changed
The job before
Leads were researched, collected, and qualified manually, requiring significant time and repetitive work with a higher risk of inconsistent or missed opportunities. Time-consuming and repetitive Higher chance of human error Inconsistent lead qualification Difficult to scale Valuable sales time spent on research
What we built
An AI-powered n8n automation that automatically finds, enriches, qualifies, and prioritizes leads, delivering sales-ready prospects with minimal manual effort. Saves hours of manual work Faster lead qualification Consistent AI-based scoring Scales with business growth Lets sales teams focus on closing deals
What it looks like
Screenshots of the real thing, running. What we do not publish is how it is put together, which is the part you are paying for.

n8n Workflow
Worth knowing
- AI doesn’t make the final call: Leads are scored and prioritized automatically, but important decisions can still be reviewed by a person.
- Built to handle messy data: The workflow enriches and validates lead information instead of relying solely on the data initially provided.
- Automation with human oversight: Routine research and qualification are automated, while high-value leads can be flagged for manual review.
Want to see how a system like this is put together before you commission one? The blueprints set out complete workflows step by step, including what breaks in them, free and with no email needed.
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What we look for
Including the things that should stay exactly as they are.
- Work that repeats
- Bottlenecks where things sit and wait
- Leads that go cold in a gap
- Admin nobody should be doing
- Where AI genuinely helps
- Where it genuinely does not
- Tools that should be talking and are not
- What to leave exactly as it is

