The excitement around Generative AI (GenAI) has reached boardrooms, budgets, and business units. But enthusiasm does not equal execution. Most organizations launch GenAI initiatives with fanfare, but few extract consistent value. The failure is structural, not strategic. It stems from a lack of operational clarity—no defined architecture, no clear roles, no enforced governance, and no mechanism to scale what works.
Enter the GenAI Operating Model framework. This is not another layer of abstractio
Data Governance is a set of practices that outline the roles and accountabilities related to data and support the organization’s Business Model by generating and consuming data. It’s all about overseeing the accessibility, practicality, reliability and safety of enterprise data.


