The case study examines the utilization of an AI-based tool to evaluate unemployed individuals who receive welfare services from specialists at the Estonian Unemployment Insurance Fund (EUIF). In this case, the machine collaborates with human decision-makers to enhance advising unemployed clients. Specifically, the automated decision-support tool provides background information to EUIF consultants by assessing the likely time when clients will find employment. This assessment is based on data related to the current labour market situation within the relevant segment for unemployed individuals, considering factors such as training, residence, and education. By analysing documents and conducting interviews with EUIF consultants, the authors explore various models for sharing decision-making responsibility between humans and machines based on the core values of AI implementation in Estonian society: effectiveness of information processing and the fairness of decisions made by machines compared to humans.