The work of Human Resources – these are activities of recruiting, training, enhancing talents in your organisation – involves continuous updating, both on good practices, and with respect to the technological innovations in support of the management and wellbeing of employees.
For the HR function, in fact, it is increasingly important to be able to interpret the changes and provide innovative, flexible, technologically advanced responses, which at the same time are human-centred.

In this dynamic context, the meeting between Data Science and HR represents a fundamental resource capable of enabling the implementation of AI solutions to optimise the processes. These tools are spreading across all business functions to address organisational inefficiencies and empower both managers and employees through the conscious use of data.

Thus Persona, the AI app we developed to optimise HR activities, from recruiting to retention to training impact assessment, was born.

Persona consists of modules to support HR professionals at every stage of the process:

Recruiting: offer writing and CV screening

Persona is a system that uses Artificial Intelligence to classify and label skills and peculiarities from each CV so as to automatically propose to the recruiter only the CVs of candidates with the highest compatibility index for the position sought. Alternatively, the LLM-based search offers speed in the free exploration of candidates according to their skills. Automated CV selection also ensures impartiality and reduced bias, helping to create a fairer and more inclusive work environment.

In addition, through AI generative tools it is possible to automatically generate texts from a specific prompt, offering recruiters valuable support in creating original, well-written job advertisements tailored to the characteristics of the target audience.

Mobility Analysis and Job Rotation Support

The ability of Persona to identify relevant skills within profiles and match them to company positions also facilitates internal relocation of resources. The ability to quickly show the best position/employee matches provides the HR team with an objective basis through which to activate strategies to better manage the company's staff and maximise human capital. The algorithm can also be used in cases where an internal position is not open, but where there is a need to search for figures with specific and transversal skills (e.g. for project staffing). Personnel profiles can be outlined using a combination of internal and external company data, which can provide a comprehensive overview of the employees' skills, experience and characteristics.

Turnover: how to predict the risk of churn

Staff turnover is not only a cost for the company, but also a real loss in terms of human capital. Every employee who leaves the organisation takes away with him or her specific skills, experience and knowledge that are difficult to replace and that negatively affect business continuity and corporate culture. In addition, the costs associated with recruiting, training and onboarding new employees can be significant, and the lack of experienced staff can reduce productivity and compromise the quality of work. Thanks to Persona, it is possible to have early information on those at greatest risk of leaving, so as to anticipate and prevent it with corrective actions. For each employee, the probability of dismissal is estimated as a function of the main variables related to his or her career path and non-work life (e.g. residence, age, ...). Application of the model to the entire company population also makes it possible to identify macro-trends related to the typical profiles of terminated employees.

Bringing resources on board and investing in the right training

In the post-hiring phase, the use of Artificial Intelligence tools provides a valuable solution for customising onboarding and training programmes. Thanks to Persona, it is possible to map individual skills and gaps, creating tailor-made training paths that foster upskilling and reskilling. This functionality not only optimises the effectiveness of training and accelerates the integration of new employees, but also enables an accurate assessment of the impact of training on performance KPIs, thus contributing to a continuous improvement process.