Hey Erin,
214k people applied to work at Wiz in Q1 2024.
That is 858k inbound job applications a year, that will cost Samsara 1,600 hours and $1.5M to review full pipeline and meet SLAs.*
Find out how DoorDash saved millions by using Covey Scout AI to streamline their applicant review process so the most qualified candidates consistently enter the pipeline within 2 days AND all candidates get reviewed and hear back within SLA.
*90% of inbound sourcer time usually spent on resumes of candidates not suitable for open roles.
*Typically, only 3 out of every 100 candidates reviewed progress to the next stage, with the best candidates not prioritized.
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.