AI-powered SAP: Transforming enterprise intelligence for the future

Beereddy, Sravanthi (2025) AI-powered SAP: Transforming enterprise intelligence for the future. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 2247-2260. ISSN 2582-8266

This technical article examines the transformative role of Artificial Intelligence in the SAP ecosystem and its impact on enterprise intelligence. It explores how SAP has strategically integrated AI capabilities throughout its product portfolio through a comprehensive dual-pillar approach that combines embedded intelligence in native applications with extensible AI services via the Business Technology Platform (BTP). The article details how this strategy enables organizations to implement AI solutions that align with their specific technical capabilities and business objectives while maintaining enterprise-grade standards. The article provides a detailed analysis of cross-functional AI implementations across finance, supply chain, procurement, human resources, sales and marketing, and IT operations, highlighting how domain-specific AI applications address unique business challenges in each area. Technical implementation considerations, including data architecture, integration patterns, performance optimization, and governance frameworks are discussed as critical factors for successful deployment. The article concludes with an examination of emerging trends shaping SAP's AI roadmap, including Large Language Models, federated learning, AutoML capabilities, edge computing, and quantum-inspired algorithms.