Unified Artificial Intelligence Architecture for Enterprise Systems Combining Secure Cloud Computing SAP and Agentic AI

Main Article Content

Leslie Teo

Abstract

Unified Artificial Intelligence (AI) architectures are emerging as a foundational approach for next-generation enterprise systems that integrate secure cloud computing, SAP enterprise platforms, and agentic AI capabilities. As organizations increasingly rely on distributed digital ecosystems, there is a growing need for architectures that unify data, intelligence, and autonomous decision-making within a secure and scalable environment. Agentic AI introduces autonomous reasoning, planning, and execution capabilities that go beyond traditional predictive analytics, enabling systems to independently perform complex enterprise tasks. When combined with SAP’s enterprise resource planning infrastructure and secure cloud computing environments, these capabilities enable end-to-end intelligent automation across business functions such as finance, supply chain, human resources, and customer operations. However, such integration introduces challenges related to governance, security, interoperability, and ethical AI deployment. This paper proposes a unified AI architecture that integrates secure cloud infrastructure, SAP enterprise systems, and agentic AI models into a cohesive framework. The architecture emphasizes data security, zero-trust principles, explainability, and scalable AI orchestration. The study highlights how this unified approach improves operational efficiency, decision intelligence, and enterprise resilience while ensuring compliance and cybersecurity in modern digital ecosystems.

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How to Cite

Unified Artificial Intelligence Architecture for Enterprise Systems Combining Secure Cloud Computing SAP and Agentic AI. (2024). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(3), 10580-10586. https://doi.org/10.15662/IJRPETM.2024.0703015

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