Over recent decades, advancements in technologies such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT) have significantly transformed the corporate environment by enhancing operational efficiency, predicting challenges, and improving productivity. This study conducts a bibliometric analysis of 361 documents sourced from the Scopus database, utilizing Bibliometrix and Biblioshiny to examine the role of AI in organizational engineering. The findings reveal AI’s transformative impact on process automation, data-driven decision-making, and resource optimization, with Germany and the United States leading scientific contributions in this domain. Brazil is identified as an emerging contributor, displaying significant potential but facing obstacles such as limited infrastructure and a shortage of skilled professionals. The study also identifies critical thematic clusters, particularly the integration of AI with Business Process Management, which plays a central role in Industry 4.0 and drives digital transformation across industries. However, underexplored areas such as ethical considerations, regulatory frameworks, and the alignment of AI innovations with the Sustainable Development Goals (SDGs) - specifically SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure) - present critical challenges for further investigation. The study underscores the importance of addressing regional disparities and encourages the adoption of diverse data sources and qualitative methodologies in future research to foster sustainable and equitable technological development.