The hospitality sector faces increasing pressure to integrate sustainability into operations while maintaining high productivity. Green Human Resource Management (GHRM) practices have proven to enhance employee engagement and promote eco-friendly organizational citizenship behavior. However, traditional GHRM frameworks lack the digital, real-time analytics needed to respond dynamically to workforce changes and sustainability goals. This research work proposes the AI-GHRM Integration Model (AGIM), a novel conceptual framework that extends the classical Stimulus-Organism-Response (SOR) paradigm into a dynamic feedback loop powered by artificial intelligence (AI). AGIM consists of a multi-layered architecture incorporating AI-based predictive analytics for attrition and engagement forecasting, NLP-driven sentiment analysis of employee well-being, IoT-enabled automation of sustainability compliance, and privacy-preserving security mechanisms. This paper outlines the AGIM conceptual model, compares its dimensions with traditional GHRM, and presents a hypothesis matrix linking AI-powered interventions to employee and sustainability outcomes. A mixed-method research methodology is discussed, blending qualitative case studies with quantitative analytics. Use case scenarios illustrate AGIM’s implementation phases in a hotel setting. The discussion highlights theoretical contributions (extending SOR with AI feedback) and practical implications for business information systems in “smart secure systems”. Future work includes empirical validation and expansion to other service industries.