Augmenting Enterprise Architecture With Large Language Models: A Single-Case Empirical Evaluation Of The TOGAF Preliminary Phase In PropTech
This research affirms the necessity of a human-in-the-loop paradigm in the EA discipline within this specific context and suggests that LLMs function effectively as augmentation accelerators rather than human replacements, thereby shifting the enterprise architect's focus from manual drafting to analytical validation a...