AI- Driven Innovation in Enterprise Architecture: A Multi-Agent System Approach to Adaptive Design

Traditional design approaches to enterprise Architecture (EA) design faces increasing challenges in quickly changing business environments. This research provides an innovative artificial intelligence (AI)-driven Multi-Agent System (MAS) technique for improving adaptive design in EA. With AI agents defining EA components, behaviors and interactions through sophisticated formal specifications, this approach enables the modeling of complex organizational dynamics, then supports predictive analytics and adaptive decision-making in EA design. Through simulations and case studies, this research explore how an AI- Powered MAS framework displays flexibility and responsiveness to changing needs, improves the adaptability and efficacy of EA design, and provides a solution for dynamic EA management.