Automatically analyse resumes, extract key skills, and score candidates using an AI-powered screening workflow.
A fully automated resume screening system that extracts skills and experience from incoming resumes, evaluates each candidate with consistent AI scoring, and creates structured profiles in Notion without manual effort. Users save significant screening time, make faster hiring decisions, and maintain a fair and standardised evaluation process for every applicant.
Set up a Notion database for candidates with fields like name, email, role applied for, years of experience, key skills, AI score, summary, and status.
Create a simple intake flow for resumes, such as a form or hiring email inbox, and connect it to n8n so every new resume file triggers a workflow run.
In n8n, configure the trigger node to detect each new resume submission and capture the file plus basic metadata like candidate name and role.
Add a Relevance AI step in n8n that sends the resume file for parsing so it can extract structured data such as skills, experience, education, seniority signals, and location.
Map the extracted Relevance AI fields into a clean JSON object with only the attributes you care about, like top skills, years in key roles, last position, industry, and notable achievements.
Pass this structured JSON plus the role description and any hiring criteria from Notion into Claude via an n8n node so it can evaluate how well the candidate matches the requirements.
Ask Claude to return an overall fit score (for example 1–10), a short pros-and-cons list, a role-specific summary, and a recommendation tag like “Strong,” “Maybe,” or “Reject.”
Use n8n to create or update a record in your Notion candidate database, filling in all parsed fields from Relevance AI along with Claude’s score, summary, and recommendation.
Configure an optional n8n step to send you or the hiring manager a notification (for example via email or Slack) whenever a candidate is classified as “Strong” or above a chosen score threshold.
Set up a separate n8n workflow or scheduled job that can re-run Claude on existing Notion candidates if you update the role description or change your scoring rubric, keeping evaluations consistent over time.
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This blueprint creates an automated AI resume screening system that replaces slow manual reviews with a fast, consistent and scalable evaluation pipeline. Instead of reading every resume yourself or relying on subjective judgement, the system uses Relevance AI to extract structured information from each document, Claude to produce a standardised evaluation, and Notion to store organised candidate profiles. n8n connects every step so the entire process runs automatically the moment a resume arrives.
Everything begins with a Notion database that serves as your central hub for candidates. This database contains fields for skills, experience, AI score, summary, recommendation and hiring status. Once this is prepared, it becomes the single place where you manage and compare every applicant.
When a resume is submitted through a form, email inbox or folder upload, n8n detects the new file and triggers the automation. n8n collects the resume and any basic metadata such as the applicant's name or the role they applied for, then prepares the file for analysis.
Relevance AI handles the first layer of intelligence. It reads the resume and extracts structured data such as skills, work history, years of experience, education, certifications, seniority signals and industry background. This immediately gives you a clear snapshot of the candidate without opening the file.
Once the structured data is ready, n8n sends it to Claude along with your job description and hiring criteria. Claude evaluates the resume in context and produces a score, a summary, a pros and cons list and a recommendation label such as Strong, Maybe or Reject. This creates a consistent evaluation framework that applies evenly to every candidate.
n8n then writes all of the extracted and generated information back into your Notion database. Each candidate gets a complete profile that includes raw skills, experience insights, AI scores and Claude's written summary. This turns Notion into a powerful decision hub where you can instantly compare candidates and identify the strongest profiles.
You can also add an optional notification step. Whenever Claude assigns a high score or a Strong recommendation, n8n can notify the hiring manager through email or another tool so top applicants never get overlooked.
Another strength of this system is that it can be updated at any time. If you change the job description or modify your scoring criteria, you can run Claude again on existing candidates directly from n8n. This ensures consistency even as requirements evolve.
The result is a complete AI screening engine that works automatically, saves hours of manual review, and improves the quality and fairness of hiring decisions. Recruiters and founders benefit from faster sorting, clearer insights and a more organised pipeline, all built with a lightweight tool stack that fits perfectly into the workflows of modern teams.
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