How AI is influencing recruitment processes

Описание и применение

AI‑поддержка в рекрутинге ускорила обработку резюме, обеспечив структурирование данных и объективный рейтинг кандидатов.

Задача

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

Результат

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.

Рабочий процесс

• 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.

Доказательства

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

Источник

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

Источник