Artificial intelligence is already present in virtually every stage of recruitment, but most of the conversation still revolves around screening resumes. What if, instead of just organizing CVs, it were possible to interview 100% of applicants in a structured, fast, and comparable way?

That's exactly what AI interviews make possible: a layer of intelligence that talks to all candidates, asks relevant questions, probes for answers, and generates a much richer picture than any stack of resumes.
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What is an AI interview?

“AI interview” is a process in which an artificial intelligence system conducts a structured conversation with the candidate, rather than a human recruiter, in the early stages.

Some important points:

- The AI asks questions about experiences, behaviors, technical skills, and soft skills.
- The candidate responds in text or voice (depending on the solution).
- The AI analyzes the content of the responses, follows up with new questions when necessary, and organizes everything according to criteria defined by the position.
- In the end, the tool generates insights and comparisons between candidates, helping the recruiter put together a more consistent shortlist.

In Solu's case, AI interviews all candidates who apply for a position, applies the same level of depth, and then automatically compares the answers, creating a ranking that goes far beyond what can be achieved by looking at CVs alone.

How an AI interview works in practice

Although the technology behind it is complex, the flow for HR and the candidate is simple. In summary, a process with Solu follows steps like these:

1. Application and invitation to interview with AI

- The person applies for the position (via the career page, LinkedIn, ATS, etc.).
- As soon as the application is received, Solu sends an automatic invitation for an AI interview (by email, WhatsApp, or another defined channel).
- From the candidate's point of view, this means not having to wait weeks to find out if someone will read their resume: the conversation starts almost immediately.

2. List of questions aligned with the job profile

Before the vacancy is posted, the recruiter (or manager) defines the following with Solu:
- Technical skills that are really necessary.
- Behaviors and soft skills that are important for the role.
- Real work situations that the candidate must know how to deal with (e.g., handling pressure, prioritizing deliveries, negotiating with customers).

Based on this, Solu's AI puts together a structured interview script, with questions that get straight to the point and avoid generic conversations.

3. The conversation between the candidate and AI

During the AI interview:
- The candidate answers questions at their own pace (within a set time limit).
- The AI may ask follow-up questions when the answer is vague or superficial.
- The tone of the conversation is designed to be clear, respectful, and human, even though it is automated.

It is as if the candidate were speaking with an experienced interviewer who follows a consistent script but is able to adapt according to the responses.

4. Analysis of responses and generation of insights

After the interview, AI:
- Structures responses according to criteria: experience, fit with the position, technical expertise, concrete examples, etc.
- Generates scores or ratings by competency, always based on evidence provided by the candidate.
- Highlights strengths, risks, and gaps in language tailored to recruiters and managers.

Here is the big difference compared to screening resumes: the assessment is based on real stories, experiences, and examples—not just lines of text on a resume.

5. Comparison between all candidates and shortlist

With all interviewees by AI:
- Solu compares candidates against each other, criterion by criterion.
- Generates a prioritized shortlist for the recruiter, with recommendations on who to call for the next human stage.
- Delivers a panel (or report) with a clear view of who stands out in what.

Instead of spending hours on initial screening and short “chat” interviews, HR now receives a list of people who have already been thoroughly reviewed.

6. Integration with the process and ATS

The AI interview does not require the company to abandon its ATS. In practice:
- Solu works as an additional layer: it can be integrated with existing systems (such as Gupy, InHire, Greenhouse) or used in parallel.
- Interview results can be fed back into the ATS, maintaining centralized control.
- The benefit lies in transforming what was once just a pile of resumes into a set of comparable and organized interviews.

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Because it goes far beyond screening resumes

Many people confuse "AI interviews" with "AI resume screening." But they are very different things.

1. From static CV to real narrative

- Resume screening: based on what the candidate wrote (or copied and pasted) in the document.
- AI interview: captures how the candidate explains their experiences, what examples they give, and how they structure their reasoning.

This reduces the importance of a "good-looking resume" and values those who have real content, even with a simpler CV.

2. Depth of information

- Automatic screening answers: "Does this person mention technology X or skill Y?"
- AI interview answers: "Did this person actually use technology X? In what context? With what level of autonomy? What results did it generate?"

Decisions are no longer made based solely on keywords, but are now supported by evidence of behavior and delivery.

3. Careful comparison between candidates

With resumes, comparisons tend to be superficial: years of experience, previous companies, education. With AI interviews:
- Everyone answers the same key questions, making the comparison much fairer.
- You can see who gives the best examples, the most clarity, and the best fit for the challenges of the position.

Solu makes this comparison automatically, generating a view that would be difficult to obtain manually in high volume.

4. Inclusion and diversity

When recruiters are overwhelmed, they tend to take shortcuts: famous universities, well-known companies, "market standard" formats.

By interviewing 100% of candidates with AI:
- People with unconventional backgrounds now have a better chance of being heard.
- Practical experience, portfolios, and real stories carry more weight, even if the resume is "not perfect."

This helps to increase the diversity of the talent pool seriously considered by HR.

Benefits for companies and HR teams

1. Operational time savings

- Fewer hours spent manually screening resumes.
- Fewer initial 15–30 minute interviews that serve only to "get a feel for the candidate."
- Recruiters can focus on more strategic steps: final interviews, alignment with managers, employer branding.

2. Quality of the shortlist

Instead of passing "so-so" candidates on to the manager because time is up, the HR team:
- Sends a shortlist already filtered by evidence of performance and fit.
- Increases the likelihood that the manager will look at the list and say, "Any of these will do, let's discuss who is the best."

This raises the perception of HR's value within the company.

3. Data for decision-making, not just intuition

With AI interviews, each stage generates structured data:
- Which skills are most scarce in the market.
- Which questions candidates tend to fail.
- Which profiles tend to perform best in the final stage.

This intelligence can be used to adjust job descriptions, profile expectations, and even internal training strategies.

Benefits for applicants

AI interviews not only benefit HR, but also improve the candidate experience when well designed.

- Everyone is heard: instead of being silently discarded during resume screening, everyone has a chance to express themselves.
- Flexibility: the interview can be conducted at any time within the deadline, without depending on the recruiter's schedule.
- Standardization: everyone receives a consistent set of questions, reducing the impact of mood biases or interviewer fatigue.

When the company communicates the process well and is transparent about the use of AI, the perception tends to be positive: more agility, more clarity, less "black box."

What about concerns? Bias, robotization, and lack of humanity

Any use of AI in recruitment raises legitimate questions. AI interviews are no exception. But many risks stem from the design of the process, not the technology itself. Some points that a serious solution needs to address:

Algorithmic bias:
- Continuously monitor whether the model is favoring or penalizing specific groups.
- Avoid using sensitive variables (gender, age, race, etc.) as part of the evaluation.

Transparency with candidates:
- Clearly explain that the interview is conducted by AI, how the answers will be used, and who will have access to them.
- Let the person know what stage of the process they are at and what happens after the interview.

Balance between AI and humans:
- AI handles the initial conversation on a large scale; the final decision remains with humans.
- The idea is not to "replace the recruiter," but rather to free up time so they can focus on the parts that require human judgment, empathy, and negotiation.

When these principles are respected, AI interviews are no longer seen as "robotizing the process" and are instead understood as a fairer, more scalable, and smarter way to evaluate talent.

How to fit AI interviews into the current process

For most companies, the transition does not require a complete revolution in recruitment. A common path is:

1. Map the current funnel

- Where does the team waste the most time?
- In what areas is the candidate's experience lacking?

2. Replace manual screening + initial basic interview

- Insert the AI interview immediately after the application.
- Use Solu's shortlist as a basis for more in-depth human interviews.

3. Integrate with the ATS already in use

- Maintain vacancy management, stages, and status in the current system.
- Use Solu as an intelligence layer that interviews, evaluates, and compares.

4. Measure results

- Time to fill a vacancy.
- Manager satisfaction with the shortlist.
- Candidate feedback on clarity and speed.