integrating llm into ea: applications, challenges and risks

The integration of large language models (llms) into enterprise architecture (ea) represents a significant advancement in automating and enhancing enterprise-level decision-making, documentation, and knowledge management. this paper explores the potential of llms to transform traditional ea practices. we investigate their role in augmenting decision-support systems and embedding intelligence within existing ea tools. while llms offer numerous benefits—such as efficiency gains and improved knowledge accessibility—they also introduce challenges related to data privacy, security, interpretability, and integration. this paper highlights these issues and outlines future directions for llm-driven ea solutions, emphasizing the need for balancing automation with human oversight to ensure sustainable and secure enterprise architecture strategies. by positioning llms as a key enabler in evolving enterprise systems, this study provides insights into their application and the broader implications for the field of enterprise architecture.