He is a certified artificial intelligence recruiter. His role is to streamline or automate some parts of the recruitment workflow; especially repetitive, high-volume tasks that require interviewing and profiling.
Saves Recruiters’ Time by Automating High-Volume Tasks
Talent acquisition leaders report that their hiring volume will increase this year but their recruitment teams will remain the same size or perhaps lessen. This means recruiters will be expected to become more efficient by “doing more with less.”
Manually screening resumes is still the most time-consuming part of recruiting, especially when 75% to 88% of the resumes received for a role are unqualified. Screening resumes and shortlisting candidates to interview is estimated to take 23 hours of a recruiter’s time for a single hire.
AI for recruitment represents a boon for recruiters if it can successfully automate time-consuming, repetitive tasks such as screening resumes or scheduling interviews with candidates.
The best AI-powered technology will be designed to not only automate a part of your tasks but to integrate seamlessly with your current recruitment stack so it doesn’t disrupt your workflow.
As a bonus, speeding up these parts of recruitment through automation reduces time-to-hire, which means you’ll be less likely to lose the best talent to faster moving competitors.
Improves Quality of Hires Through Standardized Job Matching
Quality of hire used to be a bit of a recruiting KPI black box due to an inability to close the data loop (i.e., measuring what happens to the candidates after they get hired).
As HR data became easier to collect, access, and analyze over the years, quality of hires has become recruitment’s top KPI.
The promise of AI for improving quality of hire lies in its ability to use data to standardize the matchmaking between candidate’s’ experience, knowledge, skills, and the requirements of the job.
This improvement in job matching is predicted to lead to happier, more productive employees who are less likely to turnover.
So far, the results are extremely promising. Early adopter companies using AI-powered recruitment software have seen their cost per screen reduced by 75%, their revenue per employee improve by 4%, and their turnovers decrease by 35%.
Save 23 hours per hire
No disruption to your workflow
Reduce cost per screen by 75%
35% decrease in turnover
20% increase in performance
4% increase in revenue per employee