Generative AI for Smarter Workforce Planning and Enterprise Resource Decisions

This paper introduces a generative-AI-driven framework that enhances workforce planning and enterprise resource optimization through adaptive, data-centric decision modeling. Integrating generative reasoning, contextual learning, and simulation-based forecasting, the model supports dynamic staffing, skill matching, and resource allocation. It conceptualizes an AI-augmented decision-intelligence loop that continuously refines recommendations using real-time organizational data. Comparative analysis across 120 enterprises demonstrates improved accuracy, responsiveness, and efficiency in workforce decisions, advancing decision-intelligence systems beyond traditional analytics and rule-based paradigms.