EA2SysGenAI: A Generative AI for Automated Enterprise System Generation
Year: 2025
Type: article
Abstract: EA2SysGenAI introduces a generative AI framework that transforms fine-grained Enterprise Architecture (EA) models into fully functioning enterprise systems. The work bridges Business Architecture (BDM/BPM/BSM), Application Architecture (AA), and Data Architecture (DA) into a unified, computable semantic model capable of generating schemas, services, pipelines, UIs, and deployment assets. The framework uses multi-layer AI reasoning, simulation, and continuous learning to automate system design, integration testing, visualization, and operational alignment. EA2SysGenAI demonstrates that with modern AI and Executable EA, large-scale enterprise systems can be generated, validated, and evolved automatically—enabling architecture-driven system engineering at unprecedented speed and consistency.
Author: Yang, Kun
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7107943342
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