<![CDATA[As organizations advance digital transformation, learning and competency development can no longer rely on systems that operate in silos. In specific learning related functions, actions at SmartCo rely on various unconnected systems leading to challenges in how applications interact with each other, accessing competency data, and working across services as the organization needs to integrate artificial intelligence into its workforce development strategy. Although previous studies have explored Enterprise Architecture, Agile Enterprise Architecture, AI-enabled learning, and ambidextrous governance independently, no prior study has translated organizational ambidexterity into TOGAF Standard, 10th Edition-based application architecture artifacts for AI-enabled learning. This study aims to design an Ambidextrous Application Architecture using The Open Group Architecture Framework Standard 10th Edition to support AI-enabled learning within SmartCo’s digital transformation agenda. The design combined a Traditional Enterprise Architecture component to manage core enterprise applications with an Agile Enterprise Architecture component to accommodate rapid innovation in learning services. Building this architecture involved mapping organizational capabilities, modeling the application structure, and defining governance mechanisms that balance application stability with continuous innovation. The resulting architecture integrates core enterprise applications with AI-enabled learning services through a shared integration layer. The proposed architecture introduces integrated governance artifacts to operationalize organizational ambidexterity. This architecture gives SmartCo room to keep its core operations stable while moving forward with continuous innovation. Validation by SmartCo practitioners and Enterprise Architecture experts indicated implementation feasibility with evaluation scores of 4–5 across key assessment criteria.]]>
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