1. The Problem: Why This Matters
Manual screening of job applications is slow, inconsistent, and prone to bias. HR teams spend hours reading resumes, comparing skills to job descriptions, and checking basic criteria—often under time pressure. As applicant volumes rise, strong candidates can be missed, and poor fits can slip through. The result: slower hiring, lower quality hires, and burned-out recruiters.
2. The Solution: How It Works
This automated workflow streamlines candidate screening using AI and Airtable. It:
- Collects applications through a web form, including resume and cover letter uploads.
- Extracts key information from the candidate’s PDF resume.
- Matches the application to the relevant job posting in your system.
- Uses OpenAI to analyse resume content, skill alignment, and cover letter quality.
- Calculates a match score and screening outcome (Suitable, Under Review, Not Suitable).
- Uploads data to Airtable and sends a notification to HR for qualified candidates.
- Prepares files for Airtable by uploading to Google Drive and formatting links.
3. Key Benefits
- Reduces manual screening time by over 80%.
- Increases consistency and objectivity in evaluating applicants.
- Integrates directly with Airtable, Google Drive, and email workflows.
- Provides transparent scoring and screening notes for easy HR follow-up.
- Scales effortlessly for large volumes of applications.
4. Workflow in Action
- A candidate submits their application via a web form.
- Resume PDF is extracted and relevant job posting is identified.
- OpenAI analyses the submission for skill and requirement match.
- AI returns a match percentage, screening status, and notes.
- File is uploaded to Google Drive, permission set, and Airtable-ready format created.
- Candidate record is created in Airtable with full data.
- If the candidate is suitable, an email alert is sent to HR for review.
5. Example Use Case: Real-World Scenario
A software company is hiring for multiple roles across engineering and product. Instead of assigning recruiters to manually review every CV, they implement this workflow:
- Applicants submit a single form with resume and cover letter.
- AI analyses applications based on skills, experience, and job criteria.
- Candidates scoring above 75% are flagged for HR with notes on fit.
- Rejected candidates are automatically logged with screening rationale.
This allows the HR team to focus only on the top matches, drastically improving time-to-interview and candidate quality.