AI pilots are easy to start. Scaling them responsibly across an enterprise is much harder.

As organizations move from experimenting with Microsoft Copilot, AI agents, and other AI capabilities toward broader adoption, a critical question often gets overlooked: Is the enterprise actually ready to scale AI?

This session explores AI readiness from an Enterprise Architecture perspective. Rather than focusing on a specific product or another governance framework, we will examine the practical organizational conditions that need to come together before AI can scale successfully—including architecture, governance, security, data, decision ownership, workforce readiness, and operations.

We will also explore an increasingly important question: who owns what when humans and AI participate in the same business workflows? Where should accountability remain with people, where can AI operate with greater autonomy, and how should organizations define the boundaries?

Through practical scenarios and audience discussion, attendees will learn how to identify readiness gaps, ask better questions across technology and business teams, and determine who needs to be involved before moving AI initiatives from experimentation toward enterprise-scale adoption.

Attendees will leave with a practical set of questions they can use to start an AI readiness conversation within their own organizations.