By Tony Wood, AXD Institute · Published 2026-03-01
What is Agentic Care Coordination for Chronic Conditions | AXD Institute?
Agentic Care Coordination for Chronic Conditions — an AXD Institute resource on agentic experience design, agentic commerce, trust architecture, and human agent interaction. Founded by Tony Wood..
How does AXD differ from traditional UX?
Why is trust architecture important for agentic AI?
Key concepts in Agentic Care Coordination for Chronic Conditions | AXD Institute
Agentic Experience Design (AXD)
Trust architecture for autonomous AI
Delegation design patterns
Human agent interaction models
Agentic commerce and machine customers
Agency requires intentional delegation — every agentic system begins with a designed act of delegation
Trust is the primary material — AXD works in trust rather than attention
Absence is the primary use state — the most consequential experiences happen when no one is watching
Relationships have temporality — agentic experiences accumulate history over time
Outcomes replace outputs — AXD designers specify results, not interfaces
Dimension
Traditional UX
Agentic Experience Design (AXD)
Primary material
Attention and affordance
Trust and delegation
User state
Present, navigating
Absent, delegating
Design output
Screens and interfaces
Outcomes and constraints
Temporal model
Session-based
Relationship-based
Success metric
Task completion
Trust calibration
Frequently Asked Questions
How does AXD apply to healthcare?
AXD applies to healthcare through clinician-delegated authority models, three-tier safety architectures, ethical constraints frameworks, and zero-tolerance failure design - ensuring autonomous care coordination maintains clinical governance and patient safety.
What is zero-tolerance failure architecture?
Zero-tolerance failure architecture means any missed action, unacknowledged report, or failed coordination triggers immediate escalation to a human care coordinator with full context - eliminating the possibility of silent failures in safety-critical autonomous systems.
Key Takeaways
A healthcare provider designed an AI agent system to coordinate ongoing care for patients with chronic conditions - managing medication schedules, monitoring symptom patterns, coordinating between specialists, and adjusting care plans within clinician-defined parameters. Healthcare presents the most demanding trust architecture challenge in AXD: the consequences of agent failure are not financial but physical. A medication timing error is not a refund scenario - it is a patient safety event. The design had to embed clinical governance into every layer of the agent's authority.