An AI interview that actually listens.
Mia conducts live AI voice interviews with candidates — understanding what they say in real time, deciding what matters, and following the conversation wherever the evidence leads.
She doesn’t wait for a scripted questionnaire to tell her what to ask next.
Mia listens, understands, and asks what matters next.
All while the conversation is happening.
Mia knows who she’s talking to before the first question.
Every interview begins with context. Before the candidate joins, Mia can understand the role, the company, what your team is looking for, and what is already known about the candidate.
The role and hiring criteria.
The job description, expected work, must-haves, priorities, and nuances your team wants evaluated.
The company.
Approved information about the business, product, domain, role, and recruiting process.
The candidate and CV Intelligence.
Experience, projects, responsibilities, strengths, gaps, scores, supporting evidence, and questions identified before the interview.
Previous-company research and recruiter instructions.
Relevant public company context, required questions, technical topics, and areas your team wants explored.
The first question already starts with context.
The real difference happens while the candidate is talking.
Mia doesn’t simply ask, record an answer, and move to the next item. While the candidate is still answering, she is processing what they say, connecting it to the context she already has, and deciding what deserves another question.
Listen.
Understand what the candidate is actually saying.
Connect.
Compare the answer with the CV, previous answers, role requirements, and available context.
Decide.
Identify what is sufficient, unclear, inconsistent, unexpected, or worth exploring.
Follow up.
Ask the next relevant question while the context is still part of the conversation.
Mia reasons through the conversation
while it’s happening.
That’s what turns questions into an interview.
A real interview develops. One answer creates another question. An unexpected detail opens a new topic. A vague claim deserves clarification. A strong answer creates an opportunity to go deeper.
Mia
“You mention leading the migration from a monolith to microservices. What part of the architecture did you personally own?”
Candidate
“I was mainly responsible for the event-driven communication between the services.”
Mia
“What did you use for messaging, and what led you to that decision?”
Candidate
“We used Kafka. The biggest reason was the volume we expected as we separated the services.”
Mia
“How did you handle message ordering and failures in production?”
The next question is earned by the answer before it.
The interview can go somewhere Mia didn’t expect.
Not everything worth discussing is in the CV. A candidate may introduce an important project, reveal a responsibility, or open an entirely new technical or professional topic.
Mia can recognize that new information and explore it while the conversation is happening.
The CV starts the context.
The candidate expands it.
And Mia notices when the story doesn’t quite line up.
Mia can connect the candidate’s CV, previous analysis, and answers. When those sources don’t align, she can clarify the difference during the interview.
CV
“Led the architecture and implementation of the migration.”
During the interview
The candidate explains that another engineer designed the architecture and their own role was primarily implementation.
Mia can clarify
“Your CV describes you as leading the architecture of the migration, but you just mentioned that the architecture was designed by another engineer. Can you clarify which architectural decisions you personally owned?”
Clarification, not accusation.
While the candidate is still there.
Your questions are required. The follow-ups are personal.
Recruiters define questions Mia must ask. They remain part of every relevant interview, alongside candidate-specific questions, technical topics, previous-company context, new information introduced by the candidate, and real-time follow-ups.
You control what must be covered.
Mia decides where to go deeper.
A missing signal becomes a question before it becomes a conclusion.
If important experience isn’t demonstrated in the CV, Mia can ask the candidate about it directly instead of assuming it is absent.
Before the interview
Kubernetes — insufficient evidence.
Mia
“I couldn’t find much detail about Kubernetes in your CV. Have you used it in a production environment?”
Candidate
“Yes. My current team runs our services on EKS, but I didn’t include much infrastructure detail in my resume.”
Mia
“What parts of that environment are you personally responsible for?”
New answers become new evidence.
It can be a screening interview.
Or it can go much deeper.
Mia can conduct a focused first-stage screen or a deeper technical or professional interview. A typical screen may take around 30 minutes. Deeper interviews can be configured for around an hour.
First-stage screening.
Role fit, experience, important gaps, required questions, and initial technical validation.
Deeper evaluation.
Architecture, technical depth, decision-making, ownership, and complex role-specific topics with extended follow-up.
Configure the depth.
Mia handles the conversation.
Candidates can interrupt.
Ask questions.
And actually have a conversation.
Candidates receive an interview link, check their microphone, and speak with Mia in the browser without installing software. Mia introduces herself as an AI agent and explains the position.
Candidates can interrupt, ask for clarification, or ask about the company, remote work, compensation, responsibilities, and next steps. Mia uses your approved information; questions it does not cover remain for your team to clarify.
Mia can conduct interviews in multiple languages and switch languages during a conversation when needed.
A recruiting conversation works both ways.
The interview doesn’t end when the call ends.
Mia turns the conversation into a detailed record your recruiting team can review.
Audio and transcript.
Review the original interview recording and a text transcript of the complete conversation.
Summary and detailed analysis.
Understand the most important findings and the deeper context behind them.
Required questions and Mia’s questions.
See recruiter-defined questions and answers, plus the topics Mia introduced and why she explored them.
Evidence, strengths, gaps, and inconsistencies.
Review what strengthened the candidate’s fit, what remains unanswered, and where the interview differed from the CV or earlier answers.
Understand what happened,
and why it mattered.
Integrity signals are part of the context too.
Mia can surface unusual pauses, response patterns, possible outside assistance, another voice, switching away from the interview, and inconsistencies worth reviewing.
These are signals for recruiter attention, not definitive proof of cheating, dishonesty, or AI use. Your recruiter reviews the context and decides what needs verification.
Signals for review.
Not automatic accusations.
One continuous understanding of the candidate.
What Mia learns before the interview becomes context during it. What she learns during the interview becomes new evidence afterward.
CV evidence shapes the interview. The conversation deepens the analysis.
The interview starts where the CV stops.
Use Mia wherever the interview fits your process.
Invite selected candidates from your existing ATS and return the results there. Start the conversation directly after Apply on a career page. Or manage the full recruiting process in MakeHire.
Mia conducts the interview.
Your team decides what happens next.
The best next question shouldn’t be decided before the candidate answers.
See how Mia listens, reasons, and conducts live AI voice interviews in real time.