Optimizing Business Process Automation with AI: A Framework for Maximizing Strategic ROI

Abstract

This paper proposes a comprehensive framework for optimizing business process automation (BPA) using artificial intelligence (AI) to maximize strategic return on investment (ROI). By integrating AI technologies such as machine learning, natural language processing, and robotic process automation, the framework addresses challenges in scalability, adaptability, and cost-efficiency. The study synthesizes insights from existing literature, introduces a novel strategic ROI model, and provides actionable guidelines for implementation. Findings from case studies across finance, healthcare, and manufacturing demonstrate that AI-enhanced BPA can reduce costs by up to 40%, improve process efficiency by 50%, and enhance customer satisfaction. This research contributes to academic discourse and offers practical insights for business leaders seeking to align automation with strategic objectives.