AI adoption in advancement is accelerating, but most organizations are still structured as if all work is exclusively human. In this session we explore instead oc experimenting with isolated tools, we designed seven defined AI roles inside our advancement org chart. Each role has scope, accountability, and human oversight. These nee AI agents now support campaign coordination, research synthesis, analytics, compliance monitoring, stewardship tracking, and communications workflow.

This session presents a practical case study of how to move from experimentation to architecture and participants will explore:

• How to define AI roles with clear boundaries
• How to embed governance and audit into daily workflow
• How to prevent role diffusion and accountability gaps
• How to scale from a small set of AI agents to a broader structural model.

If AI is going to become a durable part of advancement, it must have a place in the org chart by exclusively amplifying the work of people in the process.