Artificial Intelligence-Driven Framework for Enhancing Business Process Intelligence and Operational Efficiency

Abstract

Artificial Intelligence has emerged as a transformative technology for improving Business Process Intelligence and operational efficiency. This research proposes an AI-driven framework that integrates predictive analytics, intelligent automation, and data-driven decision support to optimize organizational processes. The framework enables proactive identification of inefficiencies, improved resource utilization, and enhanced operational decision-making. Through secondary analysis, the study examines AI capabilities and their contribution to intelligent process management. The proposed approach supports sustainable digital transformation by enabling adaptive, efficient, and intelligent business operations.