: Most enterprise AI programs do not fail because of the model. They usually begin with strong executive support, substantial investment and technically capable teams. The problems appear later, when the estab-lished systematic framework encounters the operational realities that constitute the organization's foundation. Generally, in high regulated sectors, the technical accuracy of artificial intelligence alone is insufficient; in addition to the system functioning properly, the organization must also be capable of sustaining it.
The study detailed below is structured upon Sociotechnical Systems Theory, organizational theories, and core competencies which focuses on the two-layered concept of the Operational Intelligence Gap (OIG), which encompasses both technical and organizational dimensions. This concept can be defined between an AI sys-tem as it was originally designed to achieve its objectives, and the fact that the organization is actually able to absorb, manage, and sustain. While this gap possesses both technical and organizational dimensions, the study through the lens of Sociotechnical Systems Theory, organizational theories, and core competencies demonstrates the necessity of simultaneously addressing and closing both dimensions.
This model was tested through the implementation of two major transformation programs within a financial services company operating in Turkiye and subject to strict financial regulations.