Intelligent Enterprise Systems Using Agentic AI Cloud Computing SAP Cybersecurity and Explainable AI
DOI:
https://doi.org/10.21590/Keywords:
Agentic AI, intelligent enterprise systems, SAP cybersecurity, explainable AI, cloud computing, predictive analytics, enterprise resilience, digital transformation, autonomous systems, AI transparencyAbstract
The rapid evolution of Artificial Intelligence (AI) has given rise to agentic AI systems that act autonomously, adaptively, and intelligently within enterprise environments. Intelligent enterprise systems, particularly those powered by SAP, are increasingly integrating agentic AI with cloud computing to enhance cybersecurity and operational resilience. Explainable AI (XAI) further strengthens these systems by ensuring transparency, accountability, and trust in automated decision-making. This paper explores the convergence of agentic AI, secure cloud computing, SAP cybersecurity, and explainable AI within intelligent enterprise platforms. It examines how agentic AI can autonomously detect threats, optimize workflows, and provide predictive insights, while XAI ensures that stakeholders understand and trust AI-driven outcomes. A literature review highlights existing research on AI-enabled SAP systems, cloud security frameworks, and explainable AI models. A mixed-method research methodology is proposed, combining case studies with quantitative analysis to evaluate the effectiveness of agentic AI-driven SAP platforms. Advantages such as automation, proactive risk management, and transparency are discussed alongside disadvantages including complexity, cost, and ethical challenges. The findings suggest that agentic AI and XAI represent a paradigm shift in enterprise technology, enabling secure, intelligent, and trustworthy digital ecosystems.
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