The expert noticed that recruitment is going through one of the most difficult periods in recent years: high employee turnover, talent shortages, and the “funnel” phenomenon (more acquisition channels, more applications and more parallel processes). As a result, HR teams get bogged down in the maze of manual tasks, and there is not enough time to make key decisions. Please read the entire comment.
It’s not just about interviewing
Lack of interviewing skills is rarely a problem. A real one the challenge is to get to the interview stage with the candidate with clarity of mind. Before that, we’ll be faced with a flood of tasks that add little value: single-screening CVs, sending confirmations, rescheduling meetings, copying and pasting updates – and worst of all, losing the best candidates along the waye.g. due to delays in sending feedback.
In this area, artificial intelligence offers a real advantage. Automation of early stages of the processu – application organization, prioritization based on the indicated criteria and follow-up – allows you to regain analytical potential. AI helps impose consistent rules, identify competencies beyond keywords, and manage processes that would be impossible with hundreds of applications for one position.
Example
A simple example: in mass recruitment processes, teams often cut corners by filtering candidates by university, last employer or keywords. Not for lack of good intentions, but for lack of time. Properly configured AI allows for a fair and consistent approach: prioritization based on competencies (actual experience, requirements, availability, language skills, etc.), maintaining the same criteria throughout the process, even with a sudden influx of applications.
Another example is coordination. When AI helps in suggesting datesautomates reminders and reduces email “ping-pong”, the effect is clear: fewer unsuccessful meetings, less frustration on the part of candidates and HR, and more time to prepare interviews that actually verify their fit with the organization.
There is also an aspect that often escapes the attention of many people: internal follow-up. In many companies, the actual status of the recruitment process is only recorded in notes, emails and chat threads. When the process becomes automated and the criteria are standardized, employment decisions no longer depend on the recruiter’s memory. This reduces the risk of inconsistent decisions and eliminates delays in contact, which often result in the loss of the candidate.
The real goal: restoring the strategic role of HR in the recruitment process
The statement “AI helps us work faster” is just the basics. The real profit lies not in speeding up processes, but in regaining the strategic role of HR departments. When the operational burden is reduced, there is space for a professional recruitment process: better questions, a deeper assessment and a candidate experience that does not resemble a soulless transaction.
Application of a hybrid model in recruitment: technology + human decisions
Candidates compare the recruitment process to their everyday experiences: they expect immediate results, transparency and personalization. That’s why a hybrid model is best. Artificial intelligence is extremely effective in filtering, organizing and maintaining consistency of processes. However, there are decisions that should not be automated: assessing a person’s fit with the company’s culture, level of motivation, interpreting non-linear career paths, or recognizing potential that is not visible in CV. The choice of a candidate cannot be reduced to a ranking. It must result from a well-conducted conversation. In short, AI it gives us speed and consistency, but decision-making cannot be delegated. By automating repetitive tasks, we can spend more time on what is needed recruitment is crucial: understanding the person, not just his CV.
Responsibility and governance in the use of AI
Bias, lack of transparency, mismanagement of data, decisions that cannot be explained, in recruitment they mean a loss of trust. The hybrid model does not simply mean “people plus technology”. It means governance: defined criteria, supervision, periodic reviews and team training. If we can’t explain why a candidate moves on or is rejected, the system is unacceptable – even if it seems effective.
Automation with sense
Implementation of artificial intelligence in recruitment processes it does not come down to activating a new function in the software, but to designing the entire process. On deciding what to automate, what not to automate, and what we want to protect: decision quality and people’s experience. AI is already present in recruitment. The question is whether we will use it to recruit faster or to recruit better.
Andrea Fort Nolla – Head of Talent Acquisition at Factorial, expert in building recruitment strategies and team optimization. He specializes in creating processes supporting employee development and managing effective communication in international organizations.
