A Multi-Domain AI Framework for Enterprise Agility Integrating Retail Analytics with SAP Modernization and Secure Financial Intelligence

Abstract

In the era of digital transformation, enterprises face mounting pressure to enhance agility, optimize operational efficiency, and strengthen cybersecurity resilience. Multi-domain Artificial Intelligence (AI) frameworks have emerged as pivotal enablers, integrating insights from retail analytics, SAP modernization initiatives, and cyber defense strategies to deliver actionable intelligence across organizational functions. This study proposes a comprehensive AI framework that bridges the gap between retail decision-making, enterprise resource planning modernization, and proactive cybersecurity measures. By leveraging machine learning, natural language processing, and predictive analytics, the framework enables real-time demand forecasting, personalized customer engagement, automated SAP workflows, and threat detection. The proposed methodology employs a hybrid approach combining cloud-based AI models, edge computing, and data lakehouse architectures to ensure scalability, security, and performance. Empirical results indicate that organizations adopting multi-domain AI frameworks achieve improved operational efficiency, faster decision cycles, and enhanced protection against cyber threats. The research also identifies critical challenges such as data heterogeneity, integration complexity, and governance requirements. This study underscores the transformative potential of multi-domain AI in fostering enterprise agility and provides practical insights for organizations seeking to integrate retail analytics, SAP modernization, and cyber defense within a unified AI-driven ecosystem.