This chapter presents the second of three diagnostic elaborated action design research (eADR) iterations, focusing on developing and validating a _SocialArtifact to support an artificial intelligence (AI) model in support of the envisaged decision-support model. By integrating the technology acceptance model (TAM) and value-based adoption model (VAM) into an enhanced action design research (eADR) process, the book addresses the challenges of AI adoption from a socio-technical theory perspective. Grounded in the design science’s principle of solving practical problems, it examines user attitudes through TAM’s perceived ease of use (PEoU) and usefulness (PU) and VAM’s focus on perceived benefits and sacrifices. Qualitative data gathered from group discussions and interviews with mid- to senior-level management using a structured questionnaire informed the thematic construction of the _SocialArtifact, which is a further building block in the development of the AI decision-support model. Verification ensures the artifact accurately reflects the prevailing AI culture and supports the broader _DecisionArtifact. At the same time, validation confirms alignment with the primary objective of developing an AI framework that balances technical and social considerations. Finally, the chapter illustrates how actor-network theory (ANT)’s interessement stage progresses the evolution of the network, including interactions among actors and the influence of external actors on organizational change.