Turn every application into a conversation.
A candidate applies. Mia immediately understands their CV against the role, starts a conversation, clarifies what’s missing, and can move them into the next configured step — while they’re still engaged.
No waiting for someone to manually open the application before the recruiting process can begin.
Mia turns each application into a conversation and a clearer evaluation.
Most career pages end with “Thank you for applying.” Mia starts working.
The moment someone applies, Mia already has work to do.
The candidate uploads their CV. Mia analyzes their experience against the vacancy and your configured hiring criteria as part of the application experience.
The role, company, CV, relevant experience, strengths, gaps, missing evidence, and recruiter-defined questions become the context for what happens next.
The application becomes useful immediately.
Don’t send candidates to a thank-you page.
Start a conversation.
After the initial analysis, the candidate can clarify their experience with Mia by typing or providing voice responses. A full live AI voice interview is a separate next step, configured by your team.
Mia already knows what the analysis found, so she can focus on what matters instead of starting with generic questions.
Mia
“I couldn’t find much evidence of production Kubernetes experience in your CV. Have you worked with Kubernetes in a production environment?”
Candidate
“Yes. Our services run on EKS. I didn’t include much infrastructure detail because my CV was already getting long.”
Mia
“What parts of that environment are you personally responsible for?”
The conversation starts where
the application becomes unclear.
Every answer can change what Mia understands about the candidate.
The CV analysis isn’t frozen once the conversation starts. Answers become evidence. Clarified experience can strengthen the evaluation; an answer that weakens an earlier assumption can change it in the other direction. The score can update in real time.
Before the conversation.
Kubernetes experience — insufficient evidence.
Candidate clarification.
Production EKS experience, with responsibility for deployments, troubleshooting, and service configuration.
After clarification.
Mia updates the evaluation based on the relevance and substance of the new information, rather than the length of the answer.
The application isn’t static.
Neither is the evaluation.
Your team decides what needs to be asked.
Mia combines questions arising from CV Intelligence with questions your recruiters require. These can cover location, work authorization, availability, salary expectations, notice period, language, onsite or hybrid availability, required experience, technical requirements, and domain knowledge.
Different vacancies can have different questions, priorities, criteria, and next-step logic.
One career page.
Different hiring logic for every role.
When the candidate is ready for the next step, Mia doesn’t have to wait.
Your team defines the conditions for progression. A configured evaluation threshold, for example, may trigger an immediate AI interview invitation while the candidate is still in the conversation.
Mia
“Based on what we’ve covered, I can invite you to the next interview step now. Would you like to continue?”
The candidate is already there.
The next step can be there too.
Not a good time?
Schedule it from the same conversation.
If the candidate can’t interview immediately, Mia can ask for suitable time slots. The interview can be scheduled, and the candidate receives a calendar invitation and their unique Mia interview link by email.
No email chain just to find a time.
Recruiter review remains an option.
If a candidate doesn’t meet the configured conditions for an immediate interview, Mia simply doesn’t trigger that step.
The application, analysis, conversation, and evaluation can still enter the ATS. A recruiter can review the candidate and choose to invite them later.
Your team defines the hiring logic.
Mia executes the configured process.
Same Apply button.
A different starting point for the recruiter.
Candidate A.
CV analyzed. Clarification completed. No automatic interview triggered. The candidate enters the ATS for recruiter review.
Candidate B.
CV analyzed. Clarification completed. Configured conditions met. An AI interview is scheduled.
Candidate C.
CV analyzed. Clarification completed. Configured conditions met. The AI interview is completed immediately, and the analysis is already available.
From your career page into your ATS.
The conversation happens on your career page. Our engineers configure how the application and the context Mia gathers reach your ATS, tailored to your recruiting process. Your recruiters continue in the workflow they already use.
The candidate’s record can include the original CV, CV Intelligence, clarification questions and answers, updated evaluation, and interview status. If an interview is complete, its recording, transcript, summary, and analysis can be available too.
We work with your team to configure when candidates enter the ATS, how information maps to your fields and stages, and which next steps need recruiter review. Every setup is individual, whether you use a familiar ATS, another platform, or a custom-built system.
A conversation for the candidate.
Context for your recruiter.
Candidates have questions too.
Candidates can ask about the company, remote work, compensation, responsibilities, requirements, locations, and the interview process.
Mia answers using approved company and vacancy information. Questions that information does not cover remain for your team to clarify.
A better application experience works both ways.
Mia can live on the career page you already have.
Where your career-page environment supports the required custom implementation, MakeHire can integrate Mia into the existing candidate experience. Our team handles the setup.
The implementation is configured around your vacancies, ATS, application flow, hiring criteria, candidate questions, automation rules, and interview process.
Your career page.
Your recruiting process. Mia inside it.
Sometimes the right candidate doesn’t know which job to apply for.
A candidate can start with “Don’t see the right role? Talk to Mia.” They can upload a CV without selecting a vacancy. Mia can analyze their experience against your open positions, ask additional questions, and suggest a potentially relevant role.
If there isn’t an appropriate opening, Mia can still collect the candidate’s information and context for your candidate database. Your team can return to them when an opportunity appears.
No matching vacancy shouldn’t mean
losing the candidate.
From Apply to interview.
One developing context.
From application to interview, each conversation adds context. The results stay connected to your ATS.
The same Mia can carry the candidate’s CV, analysis, clarification answers, role context, and open questions into the live AI voice interview.
Your team defines what matters, which questions are required, how criteria are weighted, and when automation or recruiter review should happen.
Your rules. Mia’s conversation.
Your team’s decision.
Don’t end the candidate experience at Apply.
Turn your career page into a place where candidates can be understood, ask questions, clarify their experience, and move forward while they’re still engaged.