This article introduces Agentic Experience (AX) Design, a new field focused on mapping and automating business workflows for autonomous AI agents rather than humans. It outlines the AX designer’s role—investigating real processes, structuring machine-readable systems, and defining guardrails—to ensure reliable, scalable automation.

• AX design shifts the "user" from humans to autonomous AI agents, requiring workflow maps, feasibility studies, and failure-state definitions instead of wireframes and personas.
• The three AX roles—Detective, Enabler, Builder—cover uncovering real (not documented) processes, building agent-readable infrastructure, and setting success/failure guardrails for unsupervised runs.
• When companies rush to deploy agents, the bottleneck is usually undocumented or flawed underlying processes, not the AI technology itself.
• Some workflows are too variable, legally sensitive, or costly to automate, so part of the job is deciding whether a process should be handed to an agent at all.