The adoption of digital technologies that improve productivity, sustainability and resource management is essential for the transition to a green economy. However, the digitisation process also brings with it complicated technological, economic, social and environmental issues that need to be prioritised methodically. To statistically evaluate and rank 25 indicators categorised according to five basic criteria – technological, economic, environmental, socio-institutional, and implementation risk indicators – this study employs the Analytic Hierarchy Process (AHP). The results show that technological indicators have the highest relative weight, highlighting the role that automation, artificial intelligence and digital infrastructure play in promoting green transitions. The environmental impacts underscore the necessity of energy-saving and emissions-free technologies, while the economic aspects are less important, since they are at the stage of showing the influence of investment 241 Third International Scientific Conference costs and returns on digital growth. The outcomes authenticate the statistical reliability of the AHP matrix and offer a quantitative tool for decision-makers to outline the key areas in the digital-green transformation that require their attention. Overall, the study provides a structured approach to decision support for balancing technological innovation and sustainability goals.