Hybrid Model for Strategic Decision-Making in Enterprise Architecture through Cooperation between Humans and Intelligent Agents

The purpose of the article is to present a hybrid model for strategic decision-making in enterprise architecture through cooperation between humans and intelligent agents. The article describes a new conceptual and technical framework, based on the principles of co-intelligence and the ArchiMate modelling language, enabling explicit representation of collaboration between human experts and AI systems in organizational processes. Using a four-stage research approach including conceptual analysis, model design and implementation in the Enterprise Architect platform, application to a business scenario, and result evaluation the authors demonstrate how the proposed framework enhances the modelling of digital transformation processes. The method is applied to a real business requirement, illustrating how human–machine cooperation can support more adaptive and informed strategic decisions. The proposed approach allows enterprise architects to improve modelling efficiency and decision transparency by integrating AI-driven elements directly into business architecture. The effectiveness of the model is confirmed through application-based validation within an industrial context. These research results improve existing enterprise architecture practices and can be applied in both private and public sectors to facilitate digital transformation towards Industry 4.0 and the future Industry 5.0. This paper is novel because it formalizes co-intelligence at a high level of abstraction within enterprise modelling. Keywords: Enterprise architecture; Business architecture; Industry 4.0; Business model; Digital transformation; Co-intelligence; Archimate.