The Italian Crisis and Insolvency Code has moved corporate governance from a reactive idea of crisis management to a preventive model in which firms are expected to organise information, responsibilities and controls before distress becomes irreversible. This paper develops a conceptual framework for interpreting adequate organisational, administrative and accounting arrangements as an intelligent and sustainable governance infrastructure. It argues that Artificial Intelligence (AI) can enhance such arrangements not simply by improving insolvency prediction, but by transforming dispersed organisational data into shared knowledge for timely, accountable and human-centred decisions. The analysis is positioned at the intersection of the knowledge-based theory of the firm, management control, corporate governance and the literature on algorithmic decision support. It considers adequate arrangements as dynamic knowledge architectures that connect monitoring, interpretation and intervention, and it examines how predictive analytics, machine learning and explainable AI may support early warning systems, business continuity and organisational resilience. The contribution of the paper is threefold. First, it reframes legal adequacy as a managerial and knowledge-management capability, rather than as a formal compliance exercise. Second, it proposes an AI-enabled model in which data governance, predictive judgement, human oversight and ethical accountability are treated as mutually dependent elements of the same control environment. Third, it links crisis prevention to the broader agenda of intelligent and sustainable organisations, showing that predictive systems can help boards and managers reconcile continuity, stakeholder protection and sustainable value creation. The paper also discusses critical risks associated with AI adoption, including model opacity, poor data quality, bias, cybersecurity vulnerability and excessive delegation of judgement to automated systems. These risks require boards to preserve interpretive responsibility and to build validation, auditability and learning routines into the design of intelligent arrangements. The paper concludes that AI may strengthen the practical effectiveness of adequate arrangements only when embedded in relational governance, organisational learning and explicit ethical safeguards. Its main implication is that the future of crisis governance depends less on technological sophistication alone than on the capacity of organisations to combine human and artificial intelligence in a coherent knowledge system.