Artifial Intelligence Netive VMS

Increasingly better Skill-Based Hiring thanks to Artificial Intelligence

Through our inclusion of Artificial Intelligence, we enable our solution to make faster, smarter and sharper selections based on competencies or skills. The result: fewer and fewer mismatches! We would like to briefly tell you more about the new possibilities for ‘Skill-Based Hiring’.

Training Artificial Intelligence

We have developed the technology and the methods to capture and process vast volumes of data across and within our VMS. We can populate the solution with a wide range of data: job titles, training, work experience, soft and hard skills a person has, rates, and even subjective assessments by previous managers of how a person has carried out an assignment. If you combine the details of assignments with the details of all candidates on offer and the actual candidates selected, you can ‘train’ AI and we can derive a great deal from the resulting model.

As we learn, thanks to AI, we become smarter and discover more and more patterns

Suppose we are looking for an experienced project manager. Based on AI, the system will be able to inform us about the skills available to the most successful project managers in our database. And there is much more: We can also steer on the basis of the rates we want to deploy, by looking at what happens to a rate when we add or remove a specific competency. We can see the impact of a specific competency on the first possible start date on which we can deploy someone (recruitability). Or: we can plot the competency density by linking it to geographical locations, and in this way we can see in which region we are able to recruit for a specific ‘set of skills’.

The AI automatically determines which set of patterns brings me closer to my goal and which set of patterns brings me further away from my goal. What’s more, while formulating the vacancy, you can expect active advice on what you can change, for example, recruit faster or ‘better’.

Dissecting skills from other skills

And an even more interesting dimension: you can start extracting skills from other skills. As a simple example: a project manager who stays within budget with a good final assessment of the end result often turns out to have a SCRUM certificate in their pocket. It is therefore also possible to look for candidates with a SCRUM certificate, with an interest in project management, without the candidate actually having fulfilled the role. An excellent match could therefore be made without searching for a ‘job title’ – given that the reality that what matters are the skills which underpin ‘job titles’. You can also look at your own organisation on the basis of competencies and combine them with the skills of all candidates in the database. This in turn can be used for your strategic personnel planning: you know which skills are relatively easy to recruit, but also in which skills you are most likely to have to invest within your own organisation to avoid scarcity. This strategic and hollistic oversight to the availability and accessibility of skills is critical in the mission towards Total Talent.

Optimising the possibilities around AI also makes a claim on the way we set up our processes, because the better and sharper we formulate our offers and requests, the better the data in our system. Data that we then use to find the very best candidate.

Fewer mismatches

We believe that all these possibilities will result in a much smaller number of mismatches. This is because it is easier to recruit candidates primarily on the basis of skills, whether or not they are distracted. One of the most fascinating elements in this improvement is the disappearance of bias. We rid ourselves of a huge set of – often unconscious – prejudices that negatively influence our choices and instead select on criteria that have a proven effect. This ‘regained freedom’ allows us to make unexpected matches that are not made in a conventional setting.

Finally

When Nétive was still a start-up in 2003, we recruited one of our project managers on a skills based approach. She was a qualified nurse. Now, 16 years on, I am convinced that we could have found her based on AI. Have you ever wondered what AI could do for your organisation?