Case Study: INSERM achieves rapid, transparent candidate expertise validation with Expert.ai

Inserm - Customer Case Study

INSERM, the French National Institute of Health and Medical Research, needed a faster, more transparent way to verify the expertise of job candidates who are normally evaluated by up to five external experts. To shorten recruitment cycles and reduce subjective bias, INSERM adopted Expert.ai’s technology—using the platform’s “Expert lens” to automatically assess candidate expertise from published scientific work.

Expert.ai aggregates and analyzes articles and reports from hundreds of journals, rates journal reputation, extracts keywords, and displays publication metrics and collaboration networks so INSERM can quickly spot established leaders and rising stars. The solution enabled rapid, reliable expert identification, increased search productivity, and reduced the risk of cronyism by providing quantifiable, comprehensive profiles to inform hiring decisions.

INSERM

Nicole Haeffner-Cavaillon

Unit Manager