4 Ways to use AI in the recruitment and selection process

Artificial Intelligence already fulfills indispensable functions in human resources teams, given the growing demand for agile, data-based and candidate-centered processes. Almost half (46%) of Brazilian HR professionals claim to use AI daily in their functions, an index well above the global average (29%) and the highest among the countries analyzed, according to one linkedin Study.

The demand for qualified professionals has grown, competition between companies has increased and the pressure for faster and better hiring has never been higher. But, although the topic is in evidence, it is still rare to find practical and applicable guidelines that can explain exactly how the tool can be useful for those on the front lines of recruitment. 

“The great asset of AI in human resources is the ability to improve screening and expand the analytical capacity of recruiters, without replacing the human eye. This reduction of operational bottlenecks makes it indispensable”, comments Christian Pedrosa, founder and CEO of DigAI.

The following is a summary of four processes that AI can optimize in the day-to-day of selection processes:

1- Intelligent screening of resumes and criteria adjustable to the vacancy

The first major pain for recruiters is volume; sometimes there are hundreds of resumes to analyze in a few hours. AI solutions can do this screening quickly and parameterized, identifying keywords, relevant experiences and even compatibility with specific requirements. 

Unlike traditional filters, AI learns from every HR adjustment, refining the analysis and reducing the risk of losing qualified candidates who do not follow a traditional resume pattern.

2-Automated interviews that analyze more than answers

Language models and behavioral analysis technologies are already capable of conducting automated preliminary interviews, which assess coherence, clarity, reasoning and even non-verbal communication signals. From barely perceptible vocal signals and the way each response is constructed, it is also evaluated whether there is a contrast between what is said and how it is said.

This makes artificial behaviors like cast tone or decorated responses more evident, and helps companies reduce bias. While they don't replace a human interview, these characteristics also help pre-select more aligned candidates, speeding up steps and freeing HR for more strategic conversations.

3- Predictive assessment based on real company data

Another powerful application is the use of AI to analyze the talent history of the organization itself. What characteristics do high-performance employees have in common? What skills tend to translate into good results in certain areas? 

From this diagnosis, technology can indicate the fit potential of candidates with the team, culture and demands of the function. This creates more assertive selection processes, with less turnover and more confidence in the choices.

4- Experience of the most human candidate (yes, with the help of AI)

Although it seems paradoxical, AI also improves the candidate's perception of the process.Faster responses, automatic updates on steps, personalized guidance and clear communication make the candidate feel valued, something essential in a market where employer reputation is differential. For HR, this reduces rework, reduces recurring doubts and ensures more organized processes.

“The adoption of AI in recruitment has already consolidated as part of the recruitment processes in the way companies attract and select talent.It allows HR to dedicate itself to more relationship and decision-centered functions, being in charge of technology the routine work, analysis and” scale, concludes Pedrosa.