A Multi-Layer Artificial Intelligence–Enabled Governance Framework for Integrating Information Security Management, Quality Management, and Strategic Human Resource Analytics: An Empirical Study on the Role of Corporate Social Responsibility in Susta

This paper suggests a Multi-Layer Artificial Intelligence-facilitated Governance Framework that will combine Information Security Management, Quality Management, and Strategic Human Resource Analytics into a single decision-support system, as well as discuss the moderating role of Corporate Social Responsibility (CSR) on sustainable organizational performance. The study is based on the established management system standards, including ISO 9001, ISO 27001, and ISO 26000, and the conceptualization of the governance model aligning the strategic, tactical, and operational processes should improve the system reliability, transparency, and data-driven decision making. The proposed model is empirically tested by an empirical study of organisations of various industries based on structural equation modelling (SEM)showing that AI-enabled governance makes management systems alignment and interoperability significantly stronger and that CSR enhances the positive effect of integrated systems on the sustainability outcomes.The findings highlight the strategic significance of AI-driven governance to the management of the top management that aims at enhancing compliance, resilience, and long-term stakeholder value.Lastly, the research will provide some real-life solutions to the implementation of AI-improved governance structures since in addition to theoretical knowledge, the research will provide practical solutions to the organisations that seek excellence in terms of quality, security, and human capital performance.