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Finding talent and retaining employees? With the scientific method and AI

Jobify is an Italian start-up that uses artificial intelligence to reduce recruitment time and increase employee retention in companies

by Gianni Rusconi

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4' min read

4' min read

Combining scientific method and artificial intelligence to transform (for the better) human resources management processes, from candidate selection to talent retention in the company. There are probably many organisations working towards this goal and there is an Italian start-up, Jobify, specialising in personnel management and the recruiting of middle and top management figures, which has 'engineered' the idea of combining data analysis and attention to corporate culture to make it available to medium and large enterprises.

The result is a proprietary method that reduces recruitment time by up to a third compared to the national average (from 90 to 35 days) and increases employee retention time within companies by 30%. Jobify's mission, they say, is to promote a model that combines statistical measurement, human resources innovation and the humanisation of HR processes.

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We talked about it with Davide Maggio, CEO and founder of the start-up and a past as HR manager, coach and lecturer.

Are all HR managers aware of the need to innovate in human resources management?

The world of human resources is going through a period of strong transformation, which we could call a real organisational revolution. Yesterday's practices no longer meet today's needs, and in this context not all HR managers are aware of the need to innovate and adopt a new culture. However, the level of awareness and priorities may vary, especially between large companies and smaller ones. Large companies are more ready to embrace change, while medium-sized companies may face obstacles due to reasons related to corporate culture, budget and internal competencies.

Is there a truly critical element?

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Yes, it is shifting the focus of the HR role from a staff function and mere administrative execution to an integrated component of the strategy underpinning the growth of a business. Part of our work to change the HR culture is to provide more strategic autonomy and effective tools to take the reins of the new role that HR managers will have. An increasingly central, increasingly strategic role.

What data and indicators does your scientific method rely on?

Our method is based on three fundamental pillars. The first is a consultative approach that allows us, through an AI-based tool, to assess the attractiveness of the remuneration package for the professional figure the client company is looking for compared to what the market offers: by doing so, we can guarantee the effectiveness of headhunting projects and complete them successfully in 90% of cases. The second is the engineering of search and selection processes, which allows us to monitor statistical data in real time, optimising the strategy in collaboration with the company. The third is the 'cultural fit' analysis, produced through a proprietary questionnaire developed in collaboration with the University of Bergamo, which analyses different areas of corporate culture.

How do we handle AI fallibility in recruiting?

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It is crucial to integrate automatic analysis with human evaluation. Artificial intelligence helps to screen candidates on technical parameters, but it is human intervention that verifies soft skills and cultural fit, two parameters that machines still interpret with difficulty. The data we use is collected and processed, according to our guidelines, by artificial intelligence and then interpreted by HR experts, thus reducing the risk of human error and allowing us to measure the effectiveness of each action taken on individual projects. Not least, we constantly monitor the performance of the model and update the datasets to further improve the selection and balance process.

Will labour experts or Gen AI specialists be more important in tomorrow's HR teams?

In the future, the most successful teams will be those that integrate both people management experts and generative AI specialists. The former provide the regulatory and relational expertise needed to understand people and build corporate culture, while the latter add skills to automate and personalise processes, analyse data and improve efficiency. The real competitive advantage will then come from the collaboration between these two profiles, which together can create a strategic, more adaptable and innovation-oriented HR function.

Welfare item to focus on that you would suggest to the HR manager of your best client company?

I would recommend focusing on welfare that truly supports employees' well-being and work-life balance, such as customisable benefit programmes and solutions for mental and physical health, leisure and family. This is complemented by a welfare system capable of promoting a culture based on trust and results, focusing on shared objectives, continuous training and growth, both corporate and individual. Effective welfare then evolves into wellbeing linked to structured training programmes that develop skills and introduce real flexibility in working patterns and hours. This approach not only improves the time the employee spends in the company, but also enhances productivity and strengthens the sense of belonging and satisfaction, key elements for long-term sustainability.

How do you quantify, in value produced for the company, the ability to retain an employee?

It is quantified by considering the savings on turnover costs, which include the search, selection, training and on-boarding of new resources, often amounting to 100 per cent of the resigning resource's salary. This not only ensures efficiency and productivity, but also preserves the climate of trust and motivation within the team. Today's candidates look not only for an adequate salary, but also for an environment that reflects their values and vision. This is why it is crucial, already at the selection stage, to carefully assess the values and expectations of candidates with respect to the corporate culture.

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