When it comes to establishing an operating model for AI governance, which includes policies, development standards and risk management approaches, organizations often face a classic chicken or egg dilemma. Should they first identify and understand the AI technologies and use cases they have before establishing governance structures, or should they establish governance mechanisms first and establish AI use cases in compliance with that structure? The answer is subjective to the organization, its maturity and its culture.  

This whitepaper discusses how establishing an AI governance structure paves the way for effective management and measurement of AI solutions, fostering innovation while mitigating risk.