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.

Prompt Opinion lets healthcare organizations plug in interoperable AI agents, tools, and standards into real workflows. It uses MCP, A2A, and FHIR to connect EHRs, policies, and data, turning standalone agents into production-ready tasks like prior authorizations, trial matching, and population health analyses.

• Prompt Opinion connects healthcare AI agents to real EHRs, policies, and data using open standards (MCP, A2A, FHIR) instead of leaving them as isolated pilots.
• The platform targets concrete production tasks—prior authorizations, trial matching, population health gap analysis, chart summarization—not just demos.
• Builders can publish agents once (via TypeScript/Python reference code) and reach every customer, while healthcare orgs get turnkey, audited, compliant integrations from day one.
• It's live in beta with an "Agents Assemble Challenge" recruiting developers to build agents that output real deliverables like documents, tables, or transactions.