Optimizing Risk Analysis through AI in Public Administration

The Romanian public administration is characterized by an abusively fragmented territorial structure, consisting of 3,181 administrative-territorial units, of which over 60% are small communes with less than 2,000 inhabitants. This fragmented structure leads to an inefficient distribution of resources and limits the capacity of local authorities to provide important public services. This article aims to propose a transition from this traditional and unsynchronized governance model to a dynamic, results-oriented administration and a digital architecture powered by Artificial Intelligence. The article delves into the methods by which Artificial Intelligence can function as a virtual regional hub to simultaneously update data and administrative processes for small jurisdictions that currently lack the human expertise and the necessary technology to function as efficiently as possible. Using a qualitative and exploratory methodology, the research analyzes institutional overlaps and identifies vulnerabilities within the administration that cause public services to fail to solve citizens problems. The results propose an integrated digital infrastructure model that streamlines risk analysis and service delivery at the local level. The impact of this research suggests that Artificial Intelligence can help develop the administrative resilience needed to overcome the limitations of an anachronistic territorial model dating back to 1968. By implementing these accessible digital services, even the smallest municipalities can reach advanced performance standards. This work contributes to making possible the large-scale expansion and adaptation of Artificial Intelligence, guaranteeing territorial cohesion and competitive advantage in an increasingly complex and unstable international context.