Meanwhile, a study of 70,000 candidates found that 78% actually preferred being interviewed by AI over a human recruiter.

Your recruiters spend 12 to 50 hours a week on screening calls: asking the same questions, taking the same notes, playing the same phone tag. Meanwhile, a study of 70,000 candidates found that 78% actually preferred being interviewed by AI over a human recruiter.

Something doesn't add up.

When people search for "AI phone screening," they're usually referring to AI-led phone interviews. In Clara's case, this means in-depth AI phone interviewing that evaluates candidates against role-specific criteria. Not just keyword matching on CVs, but actual conversations that assess communication skills, availability, and job fit.

This technology is changing how hiring teams filter candidates. Not in a vague, futuristic sense. Right now, today, for any team that needs to improve quality, reduce time-to-hire, or redirect recruiter time to strategic work.

Here's how it works, what candidates experience, and why the data says they might prefer it.

How AI phone interviewing works

AI phone interviewing is a structured voice conversation where an AI recruiter like Clara calls candidates, asks screening questions, evaluates responses, and ranks them against your criteria. A human recruiter then reviews the results and decides who to move forward.

It's not a robocall or a poor voice experience. Clara conducts structured, conversational interviews that adapt based on candidate responses.

The AI asks about availability, experience, logistics, and motivation. The candidate responds naturally. Clara follows up when answers are vague, probes for examples, and asks for clarification when needed.

At the end, Clara scores and ranks the candidate against your predefined criteria. A human recruiter then reviews the report and decides whether to shortlist.

Key differences from traditional phone screens

• Simultaneous capacity. A recruiter screens one candidate at a time. Clara screens hundreds at once.

• Consistent evaluation. Every candidate gets the same questions, the same criteria, the same experience. No bad-day bias. No rushing the last call before lunch.

• Always available. Candidates at 10pm Sunday get the same quality interview as 10am Monday.

Different from CV screening

AI phone interviewing captures what resumes never will: communication skills, enthusiasm, language proficiency, and whether someone actually wants the job or just mass-applied.

CV screening happens first. Clara screens all CVs based on hiring manager criteria. Then she calls the most relevant candidates for in-depth phone interviews.

What candidates experience with Clara

Let's walk through it from the candidate's side.

Step 1: The call arrives
The candidate receives a call from Clara, the AI recruiter, or schedules one at a time that works for them. No more phone tag. No more "I'll call you between 2 and 4."

Step 2: Clara introduces herself
Clara introduces herself transparently as an AI recruiter, names the company and role, and sets expectations. "This call will take about 8 minutes. I'll ask you questions about your experience and availability."

Step 3: The interview
Clara asks structured, role-specific questions. For a warehouse role: shift availability, forklift certification, distance from facility, start date. For customer service: language proficiency, schedule flexibility, relevant experience.

If a candidate gives a vague answer, Clara follows up. If they don't provide an example, Clara probes further. If clarification is needed, Clara asks for it.

Step 4: Candidate questions
The candidate can ask about the role. Pay range, shift hours, location. Clara answers based on what the hiring team configured.

Step 5: Evaluation
Clara evaluates responses in real time against your predefined criteria. No waiting for a recruiter to listen to a recording three days later.

Step 6: Next steps
The candidate knows where they stand. Clara generates a structured report. A human recruiter reviews it and decides who to shortlist. No ghosting. No two-week silence.

That last point matters more than it seems. Candidate satisfaction drops by as much as 20% across the recruitment process, largely because of poor communication. The number one complaint? Not hearing back. An AI phone screen eliminates that by default.

Why hiring teams are making the switch

The business case for AI phone interviewing isn't theoretical. Here's what the data says.

Save recruiter time. Talent acquisition teams spend 13 hours per week per role just on sourcing. Add screening calls (15-30 minutes each, 50-100 per week) and a recruiter's entire week disappears into the phone.

That math doesn't work for high-volume hiring. It also doesn't work for teams with limited recruiter capacity who need to redirect time to strategic work.

Reduce cost. The average cost per hire in the US is $4,700 according to SHRM. AI interviewing cuts that by roughly 30%, mainly by compressing time spent on repetitive calls.

Reduce time-to-hire. Companies using AI interviewing report up to 75% reduction in time-to-hire, from weeks to days. When a recruiter screens 10-20 candidates daily and Clara screens hundreds simultaneously, the bottleneck disappears.

Improve quality. The Chicago Booth study found that AI-led interviews resulted in 12% more job offers, 18% more people starting the job, and 16% higher retention after 30 days.

The consistency of evaluation (same questions, same criteria, no fatigue) produces better matches.

Candidate experience with AI phone interviews: what the data shows

88% of candidates rate the AI interview experience positively. Many describe it as "comfortable" and "fair."

In the Chicago Booth and Erasmus University study, when 70,000+ candidates chose between an AI interviewer and a human one, 78% chose the AI.

Why? Less social pressure. AI interviews reduce anxiety. Women especially reported feeling less judged.

Speed matters too. "These are candidates who want to start working tomorrow," says lead researcher Brian Jabarian. "The AI is always available."

Some candidates are initially skeptical. A Gartner survey found that only 26% of candidates trust AI before they experience it. But 88% rate it positively after use.

The fix is transparency. Clara introduces herself clearly as an AI recruiter. Transparency increases acceptance. 79% of candidates want to know when AI is being used, so tell them.

One more thing: 68% prefer AI for initial screening, but 74% want a human for the final decision. That's exactly how it should work. Clara handles the interviews. Humans make the hiring decisions.

Choosing an AI phone interviewing solution: key features to evaluate

Not all AI interviewing tools are the same. Here's what separates the good from the useless.

Natural conversation, not a script. Clara should handle follow-up questions, pauses, accents, and unexpected answers. If it sounds like a menu system, candidates will hang up.

Multilingual capability. Your candidate pool speaks multiple languages. The solution should interview in Spanish, English, Polish, Romanian (whatever your workforce needs) without separate processes.

ATS integration. Results should flow directly into your existing system. If recruiters manually transfer data, you've moved the bottleneck instead of removing it.

Structured evaluation, not a black box. You define criteria. You see how candidates scored. You understand why. "The AI said no" isn't acceptable to your team, your candidates, or compliance.

Human oversight built in. Clara interviews, scores, and ranks. Recruiters remain in control of hiring decisions. Any solution that tries to remove humans from the final decision is solving the wrong problem and likely violating the EU AI Act.

Transparent candidate experience. The AI clearly introduces itself. Candidates should know they're speaking with AI. Transparency improves the experience.

How Clara conducts AI phone interviews

Clara is an AI recruiter that does exactly what this article describes. Not as a concept, but as a daily operation for hiring teams of all sizes.

Here's what that looks like in practice.

A logistics company needs 300 warehouse workers in two weeks. Clara screens all CVs based on hiring manager criteria. Then Clara calls every qualified applicant, interviews them for availability, certifications, and shift preferences, and ranks them, all within hours of application.

By the time the recruiter opens their laptop the next morning, Clara has interviewed, scored, and ranked candidates against predefined criteria. The recruiter reviews the ranked report and decides who to shortlist.

Clara conducts interviews in 25+ languages with the same quality. A candidate in Madrid gets interviewed in Spanish. A candidate in Bucharest gets interviewed in Romanian. Same criteria, same evaluation, same speed.

Because Clara works around the clock, candidates don't wait. The factory worker who can only take calls after their shift at 9pm gets the same experience as the candidate who applies at 9am.

That responsiveness matters whether you're hiring 300 people or 30.

If your team spends more time on the phone than on actual hiring decisions, see how Clara conducts AI phone interviews.

The bottom line

AI phone interviewing isn't a future trend. It's a current reality backed by a 70,000-person study and adopted by 87% of companies in some form.

Candidates prefer it. The data supports it. And teams that adopt it first get an advantage that compounds.

In hiring, speed matters. The fastest team to interview, call back, and extend an offer wins the candidate. Every time.

The question isn't whether AI phone interviewing works. It's whether your competitors are already using it.

Ready to see how Clara conducts AI phone interviews?
Book a demo or create your account at clara.works