What is AI interviewing?

An AI interview is a voice conversation between a candidate and an AI interviewer. The AI listens to each answer and picks the next question based on what the candidate said. At the end, it writes a scorecard. There is no recruiter on the call and no form. The AI asks your set questions and adds follow-ups based on each answer.

The goal is to take first-round screening off your team, so people spend their time on the conversations that matter. It does not replace the people who hire.

Your team already knows what a strong answer sounds like. An AI interviewer takes that rubric and asks the questions. It listens closely and writes up notes for each skill. This is the same work a recruiter does on a phone screen. The difference is that it is open at any hour, for every applicant.

A form asks every candidate the same questions in the same order. It ignores what they just said. An AI interview listens and adjusts. If an answer is vague, the AI asks a follow-up question. If the candidate is strong, the AI digs deeper. If the candidate already covered a topic, the AI skips it.

Candidates feel heard. You also learn far more about each person than a form with fixed questions can tell you.

Forms have another problem. Candidates write as little as they can. A two-line answer could mean the person is weak, or that they just hate typing. Speaking removes that problem. Most people speak about three times faster than they type. Their tone, pace and word choice also tell you things that text never shows.

The candidate picks up a phone call, or gets a link by email, text or WhatsApp. They tap once and start talking. The AI introduces itself, explains how the interview works and begins. At the end, the candidate hears a short summary and a thank-you.

They do not download anything, create an account or book a time slot. That makes it easy to finish, so more candidates complete an AI interview than show up for a booked phone screen.

Candidates can interview at midnight if that is when they are free. They can pause if the doorbell rings. It feels like a phone call, and that matters. Your best applicants often work full-time already and cannot take a 2 PM call.

A few minutes after the candidate hangs up, a scorecard appears in the recruiter queue. Each skill has a score, a short written reason and a quote from the transcript. Recruiters can click the quote to hear that moment in the recording.

Your team can change any score and add a note. The AI gives advice, and your team makes the final call.

A recruiter reviewing 50 candidates does not need to listen to 50 interviews again. They skim the scorecards and play a few clips. They change scores where they disagree and move the top candidates forward. A full week of phone screens turns into a couple of hours of review.

AI interviews work best as the first-round screen, where the phone screen used to sit. They run before the hiring manager gets involved. Your team moves the top scorers to a human interview and sends the rest a polite no.

For senior roles, an AI interview works as a pre-screen before a panel. Every candidate answers the same questions on communication, role fit and motivation. The panel can then spend its time on deeper topics.

AI interviews also suit internal moves in large companies, campus drives with hundreds of applicants and contract hiring where speed matters most. If you have more candidates than your team can call, AI interviews let you hear every one of them.

"Will candidates accept it?" In practice, many candidates prefer it to waiting for a phone screen. They like interviewing on their own time. Most say it feels more respectful than waiting weeks for a recruiter to call back.

"Is the AI biased?" Scores follow the rubric your hiring team writes, and the AI does not score age, gender or background. Check that scores are fair across candidate groups, and keep the final decision with people. Every candidate gets the same rubric and the same follow-up rules. Human screens vary more, because the conversation depends on which recruiter picks up the phone.

"What about accents and other languages?" Here, voice AI does better than web forms. Goodfit runs interviews in 14 languages and writes the scorecard in English. Candidates speak in the language they are most comfortable in, and the same rubric still applies. An accent does not count against anyone.