This chapter outlines the verification and validation of the _DesignModelArtifact, resulting in the final _ValidatedModelArtifact—an Artificial Intelligence (AI)-enabled decision-support model. Using the elaborated action design research (eADR) methodology, the model was reintroduced to the original participants to assess its alignment with five conceptual statements that cover verification and validation. Participant feedback confirmed the model’s logical structure, practical relevance, and intuitive design. The _ValidatedModelArtifact integrates the _DecisionArtifact, _DataSetArtifact, and _SocialArtifact, forming a balanced framework that addresses both technical and socio-technical considerations. Aligned with action design research (ADR) principles, the artifact evolved through continuous participant input and embedded evaluation. Limitations include the pace of AI evolution, non-exhaustive coverage of key performance indicators (KPIs), and variability in decision-maker perspectives. The chapter also marks the completion of the actor-network theory (ANT) enrollment moment: with the model accepted, the researcher exits the network, and source actors engage target actors, initiating the mobilization phase. Future research may explore the model’s applicability across various industries, expand the use of ANT in AI contexts, and examine the impacts of implementation.