Hey Jake,
216,500 people applied to work at Gitlab in Q1 2024.
That is 866k resumes a year, that will cost Gitlab 2,500 hours and $2M to review full pipeline and meet SLAs.*
Seems like a significant expenditure, right? Find out how DoorDash saved millions of dollars by using Covey.
What if you could focus on the top 5% of candidates, leading to these outcomes:
100% of your highest quality inbound applicants will be identified.
92% of candidates not meeting the bar can be immediately rejected.
Better candidate experience
With Covey Scout's Enterprise-grade generative AI, you can train custom bots that evaluate millions of candidate profiles with the same nuance as a human. Save time and focus on high-quality interactions with qualified candidates.
Step 1
Step 2
Employing Enterprise-grade generative AI, Covey Scout trains your custom AI bot on large datasets for the assessments of incoming candidate profiles with human-level nuance.
Step 3
Gain full visibility into the process of determining candidate matches—no AI blackbox mysteries. Take charge by providing feedback to enhance your bot's intelligence and fine-tune its performance.
Step 4
The best candidates will be flagged for recruiters to act on Covey or within your Applicant-Tracking System (ATS). Schedule screening calls with your best-fit candidates in days instead of weeks.