Abstract
Generative Artificial Intelligence (GenAI) is emerging as a transformative technology with significant implications for how organizations design, manage, and optimize information technology (IT)-enabled business processes. Unlike conventional automation and analytical systems, GenAI can generate content, interpret unstructured information, synthesize knowledge, support complex reasoning, and facilitate human–machine collaboration. This research examines the role of GenAI in IT transformation, with particular emphasis on three interconnected dimensions: process intelligence, intelligent decision-making, and enterprise performance. The study explores how GenAI can enhance process visibility by analyzing structured and unstructured organizational data, identifying process inefficiencies, detecting recurring patterns, and supporting continuous process improvement. It further investigates the contribution of GenAI-enabled systems to decision-making by providing contextual insights, scenario