Agentic Experience Design (AXD) is the discipline for designing trust-governed relationships between humans and autonomous AI systems. Founded in September 2024 by Tony Wood in Manchester, United Kingdom, AXD addresses how humans delegate, calibrate, observe, interrupt, and recover trust in agentic AI.
| 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 |
The AXD case studies are illustrative composite scenarios that show how Agentic Experience Design principles apply across industries. Each examines specific trust architecture, delegation design, and intent alignment challenges in realistic implementation contexts.
The case studies span financial services (agentic banking, autonomous trading), retail (agentic shopping, machine customers), healthcare (autonomous monitoring, delegated care), travel (autonomous booking, itinerary management), and aviation (fleet operations, passenger experience). Each industry presents unique trust architecture challenges.
No. The case studies are fictional composites designed to illustrate AXD principles. They do not represent any specific organisation or implementation. They are designed to make the discipline concrete by showing how the frameworks apply in realistic scenarios.
Teams can use the case studies to understand how AXD principles apply to their own industry context, identify relevant frameworks and design patterns, and build internal alignment around the challenges and opportunities of agentic commerce. Each case study maps to specific AXD frameworks and founding principles.
A major UK retail bank sought to enable AI agents to manage customers' recurring bill payments autonomously - identifying better tariffs, switching providers, and optimising payment schedules. The core challenge was not technical capability but A major consumer electronics retailer discovered that an increasing proportion of product research and comparison was being conducted by AI agents acting on behalf of consumers. These Case Studies · 11 Illustrative Scenarios Agentic Commerce Case Studies: Trust Architecture in Practice Principles are only as useful as the situations they survive. These case studies take the AXD frameworks out of the abstract and into the specific - showing how trust architecture, delegation design, and intent alignment play out across financial services, retail, healthcare, travel, and aviation. Each scenario is a composite illustration, not a client engagement, designed to make the discipline concrete. These case studies are fictional composites designed to illustrate AXD principles. They do not represent any specific organisation or implementation. Across all eleven case studies, several AXD patterns emerge consistently regardless of industry context. These case studies illustrate AXD principles in context. To apply them to your own organisation, start with the AXD Readiness Assessment, explore the 12 frameworks in The Practice, or consult the AXD Playbook for a structured implementation guide.