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Hey Ian,
350,000 people applied to work at Cloudflare in Q1.
That is 1.4 million resumes a year, that will cost Cloudflare 3,888 hours and $5.6M to review full pipeline and meet SLAs.*
Seems like a significant expenditure, right? Leveraging AI to streamline this process could potentially save you up to $5 million this year.
*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
Outcomes from using Scout Inbound
Jay Patel
Director of Talent
We’re able to screen candidates 10x faster with Covey Scout
Watch Video
Devin Collins
Global Director of Recruiting
Covey Scout is pinpoint accurate and insanely flexible
Watch Video
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.