AI Interviews

The platform conducts live voice interviews that adapt to each candidate’s responses rather than following a fixed questionnaire. Follow-up questions are generated dynamically during the conversation, helping employers gather deeper insights into experience, communication style, and problem-solving ability while maintaining consistency across applicants.

Recruiters can create role-specific interviews by uploading or pasting a job description into the platform. AI Interviews automatically generates relevant questions and evaluation criteria, which hiring teams can review and customize before inviting candidates. This helps align candidate assessments with role-specific hiring requirements.

AI Interviews features ‘Interview Integrity Verification’ that monitors behaviors throughout the interview process that may affect assessment accuracy, including off-screen reading, coaching, AI-assisted responses, and additional voices. Instead of automatically rejecting candidates, the system provides evidence-backed flags that recruiters can review as part of their decision-making process.

Each response is evaluated against a predefined hiring rubric, with scores linked directly to supporting interview transcript excerpts. This approach gives recruiters visibility into how evaluations were determined and helps create a more structured review process when comparing candidates.

AI Interviews integrates with major applicant tracking systems, allowing interview scores, recommendations, and candidate reports to flow directly into existing recruitment workflows. This helps hiring teams maintain centralized candidate records while continuing evaluations within their preferred ATS environment.

After interviews are completed, the platform organizes applicants into ranked shortlists based on evaluation results and scoring criteria. Hiring managers receive recommendations such as advance, review, or reject, helping them focus attention on candidates who most closely match the role requirements.