Case Study: Erevena saves time and retains critical candidate data with Quil

Quil helps Erevena retain critical candidate data and save hours

Erevena, a global executive search firm, faced significant inefficiencies in its recruitment process. Their challenges included manual, time-consuming interview note-taking, cumbersome manual updates to their Ezekia ATS, and hours spent preparing candidate submissions, which also hampered onboarding and institutional knowledge retention.

By implementing Quil, the company automated its interview notes and integrated them directly into Ezekia. This solution provided structured, AI-powered takeaways, automated ATS updates, and standardized submittals. As a result, Erevena achieved a 90% reduction in time spent on candidate write-ups, now taking just 10 minutes per report, and cut administrative time in half, saving hours each week while improving data capture and consistency.

Erevena