AI and the e-Competence Framework

As a job recruiter, you may receive hundreds of CVs for a single vacancy, making the screening process time-consuming and complex. Our solution leverages the professional European e-Competence Framework (e-CF) — a standardized model for IT job roles and competencies — together with advanced AI technologies to streamline recruitment.

By intelligently analyzing candidates’ experience, skills, and qualifications, our system performs automated CV screening and delivers highly accurate CV-to-job matching for IT positions. This powerful combination helps recruiters quickly identify the most suitable candidates, reducing manual workload while improving accuracy, fairness, and efficiency across the hiring process.

Dimension 1: 5 e-Competence Areas

The 5 e-Competence areas are derived from the IT macro processes: PLAN, BUILD, RUN, ENABLE, and MANAGE. They provide the entry point to the e-Competences and reflect a process perspective based upon the waterfall approach. However, the e-CF is equally relevant to the steps applied in agile process structures such as Agile/ DevOps lifecycles.

Dimension 2: 41 e-Competences

41 e-Competences in total provide the European standard references of IT Professional competence as required and performed in IT work context. Each Dimension 2 description contains a competence title and a generic competence description, defined from an organisational perspective.

Dimension 3: 5 e-CF Proficiency Levels

There are 5 e-Competence Proficiency Levels characterised by increasing levels of context complexity, autonomy, influence and typical behaviour. To each e-Competence, specifically relevant proficiency levels are assigned. The Dimension 3 level descriptors provide the individual perspective of competence performance.

Dimension 4: Knowledge & Skills Examples

Examples of knowledge and skills relate to the e-Competences generic descriptions in Dimension 2. These examples are provided to add value to the competence descriptor and are not intended to be exhaustive. They offer inspiration and orientation for the identification of further specific knowledge and skills assignment according to contextual needs.