Email triage is one of the most useful applications of AI. It is also one of the riskiest. This case study describes how implementing a trust boundary makes an AI assistant useful without giving it more access, authority, or data than it really needs.
As AI reduces the cost of analysis, drafting, and routine coordination, the organisations that benefit most may not be the biggest. They may be the ones that can move with the least internal friction.
The best starting point is rarely an enterprise-wide program. It is usually one workflow with visible friction, meaningful value, and an owner willing to change how the work gets done.
The point of human oversight is not to slow agentic operations down. It is to make faster execution trustworthy, governable, and commercially usable.
Many pilots disappoint not because the model is weak, but because the surrounding workflow still depends on slow approvals, fragmented ownership, and manual coordination.
