Thesis title: InsoTech: la tecnologia al servizio del governo efficiente delle crisi di impresa
This study explores the evolution of corporate insolvency law in the context of the Fourth Industrial Revolution, focusing on the role of Artificial Intelligence (AI) and digital technologies in the preventive and compositional management of business crises. Its main objective is to investigate how predictive analytics, machine learning, and blockchain tools can be integrated into the regulatory framework established by the italian Code of Business Crisis and Insolvency to enhance its efficiency and timeliness. Adopting an interdisciplinary approach that combines legal, economic, and technological analysis, the study examines the evolution of early warning mechanisms and the composizione negoziata procedure, proposing innovative models of corporate governance and algorithmic restructuring (InsoTech). It highlights the need for a proactive form of Corporate Digital Responsibility and for organizational structures capable of interacting with transparent and auditable algorithmic systems, thereby laying the groundwork for a new computational regulatory architecture oriented toward prevention and business sustainability.