The AI recruiting glossary.

AI agents that reason, plan, and work together inside a recruiting platform to complete hiring tasks such as candidate screening, interview scheduling, conducting interviews, and candidate follow-ups, with minimal human intervention.

Automates interview scheduling by checking the availability of the candidate and multiple interviewers, then booking a common slot that works for everyone. This reduces back-and-forth communication and scheduling delays.

Uses conversational voice AI agents to screen candidates over phone calls, helping recruiters assess candidates and reach more applicants faster.

A form of candidate fraud where another person completes or assists with an interview on behalf of the actual candidate. This can involve someone answering questions, giving real-time coaching, or impersonating the candidate, which makes it difficult for interview panels to accurately assess the candidate's identity, skills, and suitability for the role.

Semantic search understands the requirements in a job description and matches them with the skills, experience, intent, and overall context in each candidate's resume, even when candidates describe the same skills in different words. Keyword or Boolean search only returns resumes that contain exact keyword matches, either taken from the job description or entered by a recruiter.

The difference between the skills a job role requires and the skills a candidate currently has, helping recruitment teams identify where the candidate may need additional training.

Measures the time between a candidate applying for a job and accepting the job offer. It shows how quickly the hiring process moves a candidate from application to offer acceptance.