Artificial Intelligence Applied to Public Management: Towards an Operational Digital Maturity Model for an Intelligent State

This paper proposes an applied and operational framework for the adoption of Artificial Intelligence (AI) in public management, addressing current challenges in institutional modernization, digital governance, and decision-making capacity in the public sector. The study introduces two original models: the MIIBE model (Modernization Institutional Model Based on Evidence) and the ODMM (Operational Digital Maturity Model), designed to guide public institutions through structured stages of digital transformation, from initial digitization to intelligent governance supported by AI. Using a qualitative and analytical approach, the paper integrates international references from OECD, BID, CAF, and UNDP frameworks, adapting them to the Latin American and Peruvian public sector context. The proposed models emphasize institutional capacity, interoperability, process automation, advanced analytics, and AI-assisted decision-making as core elements for achieving an Intelligent State. The contribution of this work lies in offering a practical, replicable, and scalable roadmap for public organizations seeking to implement AI responsibly, improve operational efficiency, and strengthen governance outcomes.