Built a Simple AI Lead Qualification Workflow in Make.com

Today I worked on a small proof of concept for a B2B lead generation setup called NexaGrowth.

The goal was to see how AI could quickly qualify incoming leads without adding complexity.

The workflow starts with new leads coming in through a Google Form and webhook trigger. Once a submission comes in, the data is sent to OpenAI where the lead is analyzed to classify the industry, estimate company size based on the description, and assign a lead score from 1 to 10.

That output is then structured cleanly and pushed into Airtable so the data is easy to review and filter later. If the lead score comes back as 8 or higher, the automation instantly sends a Slack notification so the team can act fast on high intent leads.

Nothing fancy, just clean logic, clear prompts, proper data mapping, and basic error handling to keep the flow stable.

This kind of setup is a great example of how AI can support lead qualification without replacing existing systems or overengineering the process. Simple automations like this often deliver the quickest wins.

3 comments