How AI is influencing recruitment processes

Description and use

AI-assisted screening in recruitment streamlined CV processing, structured data extraction, and objective candidate ranking.

Problem

High volume of CVs (500+ in a week) made manual screening slow and risk missing strong candidates.

Outcome

AI‑assisted screening cut manual review time, ensured consistent data extraction, and allowed objective ranking, speeding up hiring and reducing risk of overlooking qualified candidates.

Workflow

• 1. Collect applications via Google Form into spreadsheet.
• 2. Store CVs in Airtable records.
• 3. Use GPT‑5.5 prompt to extract structured employment data from PDF/DOCX.
• 4. Populate Airtable fields (date_start, date_finish, job_title, company, techs, education, English level).
• 5. Apply ranking formula based on experience, education, English proficiency.
• 6. Review top‑scoring candidates for interviews.

Evidence

With that volume of CVs, there was a real risk that a strong candidate could go unnoticed.

Source

We use Airtable as the foundation for collecting and structuring applications, with AI connected to help structure and populate the data.

Source