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 |
AI agents will curate luxury purchases based on learned style profiles, verify authenticity through machine-readable provenance data, source limited-edition items via programmatic waitlist management, and execute purchases within delegated taste-calibrated constraints - shifting luxury competition from experiential retail to verifiable trust signals.
Through digital product passports, blockchain-verified provenance chains, NFC-embedded authentication chips, and manufacturer-verified condition reports - all providing machine-readable trust signals that agents can evaluate autonomously to verify authenticity without physical inspection.
Agents operate with learned style models encoding colour preferences, silhouette preferences, brand affinities, occasion requirements, and budget constraints. They match products against these profiles using structured product attributes - but require fashion brands to publish rich, machine-readable product data beyond basic categories.
Fashion brands should publish rich structured product data (materials, fit, construction, colour accuracy), build digital authentication infrastructure, design scarcity and exclusivity programmes for agent participation, and invest in resale infrastructure with verifiable condition assessment and provenance documentation.
The boutique experience remains valuable for human engagement but becomes one channel among many. Agent-mediated discovery and purchasing will grow, requiring luxury brands to express their value - authenticity, craftsmanship, provenance, scarcity - in machine-verifiable formats alongside the experiential retail channel.
Luxury commerce has always been about human experience - the boutique visit, the personal shopper relationship, the tactile engagement with materials, the emotional resonance of brand heritage. These experiential elements resist machine mediation. Yet an increasing share of luxury discovery, research, and even purchasing will be agent-mediated. The paradox resolves through trust architecture. What makes luxury valuable - authenticity, craftsmanship, provenance, scarcity - can be expressed in machine-verifiable formats. An AI agent curating luxury purchases for its principal does not experience the boutique atmosphere, but it can evaluate Counterfeiting is a persistent challenge in luxury - estimated at hundreds of billions in annual losses globally. For AI agents purchasing luxury goods, authentication is not a nice-to-have but a fundamental requirement. An agent cannot visually inspect a handbag's stitching or feel the weight of a watch. It must rely on This creates an opportunity for luxury brands to build Provenance becomes a competitive differentiator. An agent sourcing a pre-owned luxury watch can evaluate the complete ownership history, service records, condition documentation, and authentication verification - all programmatically. Sellers that publish comprehensive, verifiable provenance data command premium prices because the agent can quantify the trust premium. The Fashion is inherently personal - taste, style, body type, occasion, and cultural context all influence purchasing decisions. Delegating fashion purchasing to an AI agent requires a form of Style profiles become delegation instruments. An agent curating fashion for its principal operates with a learned style model - colour preferences, silhouette preferences, brand affinities, occasion requirements, and budget constraints. The agent discovers new items by matching against this style profile, evaluating structured product attributes (material, fit, construction, colour) against the principal's pr