Generative AI in enterprise systems: Moving beyond conversational AI

Natta, Prasanna Kumar (2025) Generative AI in enterprise systems: Moving beyond conversational AI. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 1695-1701. ISSN 2582-8266

Generative Artificial Intelligence has evolved beyond conventional applications into a transformative enterprise technology that fundamentally reshapes organizational capabilities across multiple domains. This article explores how Gen AI transcends simplistic chatbot implementations to deliver substantive value through enterprise process automation, intelligent software development, and advanced predictive analytics. Integrating Gen AI into enterprise ecosystems creates profound operational efficiencies by optimizing development lifecycles, automating complex workflows, and enabling dynamic business intelligence. When embedded effectively, these technologies facilitate real-time adaptation to market conditions through predictive insights and automated response mechanisms. The article examines how forward-thinking organizations leverage Gen AI for competitive advantage through accelerated software development, enhanced decision-making capabilities, and proactive operational adjustments. Additionally, the discussion addresses critical implementation challenges, including data quality considerations, regulatory compliance requirements, and ethical imperatives surrounding algorithmic bias and governance frameworks. The comprehensive evaluation demonstrates that Gen AI represents an incremental technological advancement and a fundamental paradigm shift in how enterprises conceptualize and implement intelligent systems to navigate increasingly complex business environments.