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Screen thousands in days, not weeks and evaluate communication, motivation, and overall potential beyond test scores.
Automated applicant assessments completed.
Consistency in assessing intent, communication.
Reduction in screening workload for admissions teams.
Ensure every applicant is evaluated equally reducing bias and promoting fairness.
Students record automated video responses
Admissions team gets a summarized decision
Interviewer.AI is built to make the admissions process more inclusive, less stressful, and accessible to every applicant—regardless of device, time zone, or background. Students can record their interviews asynchronously at their own convenience, reducing anxiety and eliminating scheduling challenges for international applicants. Our mobile-first design ensures that candidates without laptops or broadband can still complete their interviews smoothly on a smartphone, with completion rates above 90% in mobile-heavy regions. To make the experience feel more human, students interact with an on-screen avatar that delivers questions naturally, providing a more engaging and supportive environment than traditional text-based prompts.
Interviewer.AI is designed to support—not replace—your admissions team. The platform acts as an intelligent first-round reviewer, handling high-volume screening so your staff can focus their time where human judgment matters most. The AI summarizes each applicant’s interview, highlights key moments, detects integrity issues, and organizes candidates into clear review queues. Admissions officers then validate the insights, watch the video highlights, and apply their own academic and contextual judgment. If a human reviewer disagrees with an AI score, the human decision always takes precedence. This augmented workflow protects the personal, holistic nature of admissions while giving teams the speed, consistency, and visibility needed to handle growing application volumes.
Interviewer.AI delivers measurable ROI by saving staff time, improving applicant yield, and strengthening the quality of each incoming cohort. By automating the most time-consuming parts of the screening process, the platform reduces review time per applicant from roughly 15 minutes to about 3 minutes through AI-led shortlisting, summaries, and timestamped highlights. It also eliminates the need for scheduling and conducting live screening calls, freeing hundreds of staff hours that can be redirected to recruitment, outreach, and yield. Beyond efficiency, universities benefit from admitting students who are a better fit. Our WorkMap and soft-skills analysis help identify motivated, program-aligned applicants—improving retention and long-term revenue. Plus, because the system scales effortlessly, institutions can offer interviews to a wider pool, uncovering high-potential candidates who might otherwise be overlooked.
Interviewer.AI is designed to protect the integrity of your admissions process through a balanced, evidence-based fraud detection system. Before the interview begins, candidates complete biometric ID verification, where their live image is matched against a government-issued ID; any low-confidence match is automatically flagged for review. During the interview, the platform monitors browser activity so that tab switching or opening external tools triggers an integrity alert. We also analyze gaze patterns and audio cues to identify teleprompter use, off-camera coaching, or multiple voices. All these signals are compiled into a clear integrity report so your team can quickly identify sessions that warrant closer review—keeping the process fair without adding friction for honest applicants.
No. Interviewer.AI is intentionally designed to be explainable, auditable, and defensible. We never issue opaque yes/no decisions. Instead, the platform breaks performance into clear, observable metrics—such as communication clarity, professionalism, response relevancy, and sociability—each backed by narrow, purpose-built models that measure specific behaviors like vocal pace or facial engagement. Every score is tied to an interpretable signal, allowing admissions officers to see exactly why an applicant was evaluated a certain way. This transparency ensures the process is reviewable, compliant, and fully defensible to faculty committees, auditors, and accreditation bodies.
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Get in touch with us and we will provide a solution that meets your exact requirements