Automated AI-Powered Candidate Screening with Airtable
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This workflow automates the initial candidate screening process, leveraging AI to assess applicants against job postings. It seamlessly integrates with Airtable to centralize HR data, from capturing applications to storing AI-generated screening insights.
About This Workflow
Revolutionize your recruitment process with this powerful n8n workflow. It intelligently automates the journey from application submission to initial candidate screening and database entry. By linking your online application forms directly to Airtable, it first identifies the relevant job posting. Then, an integrated OpenAI Chat Model performs an initial screening, evaluating the candidate's resume, cover letter, and skills against the job description. It generates crucial data like a match percentage, screening notes, and an overall screening status, all before automatically creating a comprehensive candidate record in your Airtable HR database. This drastically reduces manual effort, speeds up time-to-hire, and ensures a consistent, data-driven approach to talent acquisition.
Key Features
- AI-Driven Candidate Screening: Utilize OpenAI to automatically analyze resumes, skills, and cover letters against job requirements, generating match percentages and screening notes.
- Seamless Airtable Integration: Connects your HR database in Airtable for searching job postings and creating new candidate records.
- Automated Data Capture: Automatically pulls applicant details (full name, email, position, skills, resume, cover letter) from incoming forms.
- Centralized Candidate Management: Consolidates all applicant data, including AI screening results, into a single, organized Airtable base.
- Real-time Status Updates: Records application date and AI-determined screening status, streamlining your hiring pipeline.
How To Use
- Configure Your Application Trigger: Ensure you have an upstream node (e.g., a Webhook or Form node) that provides candidate application data, including
Position Applied For,Full Name,Email Address,Relevant Skills,Cover Letter, andResume(as a file array). - Set Up Airtable Credentials: Provide your Airtable Personal Access Token credentials for both the
Search Job PostingandCreate Candidatenodes. - Define Job Posting Search: In the
Search Job Postingnode, verify that your Airtable 'HR Database' and 'Job Posting' table are correctly selected. ThefilterByFormulashould match your job title field to the incoming 'Position Applied For'. - Configure OpenAI Chat Model: Input your OpenAI API key. Configure the prompt to compare candidate data (from the application and resume file) with the job posting details, instructing it to output
screening_notes,match_percentage, andscreening_statusin its response. - Map Candidate Creation Fields: In the
Create Candidatenode, ensure your Airtable 'Candidates' table is selected. Map the incoming candidate data from the initial application and the outputs from the OpenAI node to the corresponding columns (e.g., 'Full Name', 'Resume', 'Screening Notes', 'Match Percentage', 'Screening Status').
Apps Used
Workflow JSON
{
"id": "c4536575-b908-49ef-a529-cb6212f8bd7a",
"name": "Automated AI-Powered Candidate Screening with Airtable",
"nodes": 16,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: c4536575-b908...
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