AI Governance: A Framework For Senior Leaders To Manage AI's Value Creation

Step 1 in my work with clients gives senior leadership a way to manage AI's value creation. This removes the most significant barriers to generating returns from Data Science initiatives.

• Lack of project prioritization framework

• No transparency into initiatives

• Inaccurate KPIs for progress and metrics for success

• Technical and workflow complexity takes focus away from business objectives

I put two main components in place to address these issues: the Technology Model and AI Governance Framework. This post focuses on the AI Governance Framework.

What Is AI Governance?

AI Governance is an umbrella framework for defining Data Science projects from a value creation perspective. The technology and workflow complexity are taken out of the process. Accountability for both is returned to the Data and Analytics Organization.

The only technical decision made in AI Governance is, "Is this a Data Science problem or a traditional Software Engineering problem?" Strategic goals and value creation drive everything else.

The AI Governance framework covers 3 areas critical to strategy driving AI initiatives.