2 weeks Ago
Sorting through hundreds or thousands of resumes and conducting early-stage interviews is challenging and time-consuming. It leads to delays in the hiring process and inconsistent candidate experiences. For example, say a tech company hiring for a software engineer role receives more than 500 applications.
A recruiter spends hours manually reviewing the resumes and conducting screening calls, only to realize that many candidates lack key skills. This inefficient process delays hiring and increases costs. Additionally, traditional screening methods can introduce unconscious bias—such as favouring candidates from certain universities or backgrounds—reducing diversity and fairness in hiring.
A voice AI tool like Smallest.ai can streamline the initial screening process by conducting automated, unbiased interviews, quickly assessing candidate responses, and filtering top talent based on predefined criteria. How to access: How to access? Visit and click on the ‘Atoms’ menu.
(Atoms is a voice AI agent platform that automates repetitive workflows and also enables users to build and deploy AI agents.) How does Smallest.ai help? Optimizing Recruitment at Scale with Smallest.
ai By creating a Voice AI agent using Smallest.ai, recruiters can leverage automated AI voice interviews: Connect these nodes logically to automate the initial screening process effectively. What makes this approach effective?.
