AI for talent management

Effective recruitment and retention of talent are vital needs for a business. Properly managed, they allow organizations to grow and add new dimensions to their development. Among the aspects that can be improved with the use of Artificial Intelligence tools are the automatic pre-selection of candidates, a better balance between subjectivity and objectivity and a greater capacity for innovation in recruitment processes.

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Artificial Intelligence allows organizations to evolve in creating an environment that meets employee needs and improves retention. Such technology can customize career development, optimize replacement planning, provide resources to enhance skills and drive compensation strategy, supporting managers, leaders and executives in managing talent, which in turn creates strategic business advantages.

Artificial Intelligence can help recruiters and managers make better hiring decisions. These tools allow for a thorough evaluation of candidates using reference information and automatically comparing them to employees who have been successful in similar roles in the organization. In addition, it is possible to create individualized offers and anticipate candidate behavior by predicting the likelihood that a candidate will accept, perform their job properly and remain in the position being offered.



  • Predicting emotional states of employees
  • Absenteeism forecast
  • Advanced talent segmentation
  • Identification of career plans
  • Automatic assignment of vacancies to candidates


On employment platforms it is increasingly common to find algorithms that are capable of sending personalized suggestions based on your most recent searches. In addition to this, they allow you to send quick applications that autocomplete with the profile information, making the applicant’s experience more enjoyable, even improving the employee’s conception of the company offering the position.

One type of Machine Learning process that has shown good results is survival analysis. This is a technique for predicting the weather up to a certain event based on historical data. It gets its name from medicine, in which it is used to establish the prognosis of serious illnesses based on risk factors. In this case, the aim is to minimize the time period in which a vacancy remains open beyond the deadline for coverage.


With the Agile methodology as an internal standard, we always adapt to the requirements and availability of the Client.

Since the services offered are customized, we consider frequent and close communication and contact as essential conditions to maximize the efficiency and continuity of the projects. That is why the feedback and progress presentation meetings have an average frequency of one week.


How can I incorporate AI into my processes?

Answer All of our collaborations are based on support from the conceptualization phase to the production of the solutions. The first step is to contact us and, without any commitment, find the optimal way to apply the tools that best suit your business.

Do I need a Data Scientists team and a special data architecture?

Answer Not necessary, since we have a complete team of experts and the necessary computer resources for the development of practically any type of solution based on data and Machine Learning. Flexibility in the nature of the data source is complete (unstructured data, SQL databases, Excel data, …)

How can I measure the value you bring to my business?

Answer The calculation of profitability can be obtained in a quantitative way as in traditional projects. In addition, the support of success stories and the strong investment made by companies all around the world is a true reflection of the reality about these projects and how the risk associated with them is, year by year, decreasing.

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