How I Built a Resume Screening Workflow That Saves HR Teams 80% of Their Time (And How You Can Resell It)

If you’re into building automation workflows, you’re sitting on a goldmine.

Let me explain.

A few weeks ago, I spoke to a small HR team who had just finished screening over 200 resumes for a mid-level role. It took them 3 full working days to sort through the pile, shortlist candidates, and send results to the hiring manager. They were exhausted.

The problem? Their entire process was manual — downloading resumes, comparing them with the job description, reading line by line, trying to match skills. The usual chaos.

So I built a solution.
Not just for them — but for automation builders like you.

It’s called the AI Resume Screener Workflow.

Here’s what it does:

  • HR uploads the job description and all received resumes into a shared folder (or an Airtable/Notion table — customizable).
  • The automation extracts relevant keywords and skills from the job post.
  • Then it analyzes each resume, matches qualifications, and scores candidates based on relevance.
  • Finally, it sends back a clear, ranked list of the top fits with summaries.

The same 3-day task? Done in under 30 minutes.

Now here’s the cool part: I didn’t just build this for HR.
I built it so automation builders like us can resell it or offer it as a service.

Think about it:

  • HR teams need this. They don’t know how to build automations. They’re overwhelmed and already behind on deadlines.
  • You already have the skills. This workflow is plug-and-play. No coding. No API headaches. Everything is customizable if you want to tailor it to each client.
  • You can charge good money. Whether it’s a one-time install, monthly SaaS-style pricing, or pay-per-job — it’s a real, valuable service with visible ROI.

I’ve already seen early adopters using this workflow to land HR clients and add it to their existing service stacks. Some are even white-labeling it.

If you’re in the automation space — especially with n8n, Make, or Zapier — you can position yourself as a “recruitment automation expert” and use this as your lead-in offer.

I built this workflow to save you the development time and give you a tested solution that delivers results. It’s ready to go.

If you’re interested in using it, reselling it, or bundling it into your own offer — DM me or check it out here:
:backhand_index_pointing_right: AI-Powered Resume Screening Workflow for HR Teams – Adam2Scale

Trust me — this isn’t just another cool automation.

It’s the kind of workflow that turns your tech skills into income.

And HR? They’re desperately waiting for someone to offer them a way out of resume overload.

Why not let that someone be you?

Out of curiosity, how do you do the matching? I doubt just plugging in an llm will solve this.

The workflow matches resumes by first extracting structured data from the job description (skills, experience, tools) and resumes, then scoring candidates based on how well they match key criteria — like required skills, years of experience, and tools used.

LLMs help extract and summarize, but logic-based scoring ensures consistency and avoids hallucinations.

Oha, well that’s basically what any recruiting Ai tries to sell and honestly nothing really works as promised.

Are you able to explain the results and ensure it sticks to regulations in the EU?