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 |
Agentic commerce emerges when autonomous AI agents become active participants in markets \u2014 buying, selling, negotiating, and fulfilling orders without a human clicking through an interface. It covers three transaction patterns: machine-to-human (an agent purchasing from a traditional business), human-to-machine (a person buying from an agent-run service), and machine-to-machine (agents on both sides of the deal). The shift is structural, not incremental: when the customer is an algorithm wi
Agentic AI refers to autonomous systems that act on behalf of humans \u2014 anticipating needs, making decisions, executing transactions, and operating independently without constant human supervision. Unlike traditional AI that responds to prompts, agentic AI initiates action, pursues goals across multiple steps, and adapts its behaviour based on outcomes. Agentic AI powers agentic commerce and agentic shopping, where agents transact autonomously on behalf of human principals.
AXD is the discipline that governs how people and autonomous AI systems build, maintain, and repair working relationships. It was created because traditional UX \u2014 designed for screen-based interactions where the user is always present \u2014 has no framework for systems that act while the human is away. AXD addresses the five core challenges of human-agent relationships: how authority is granted, how boundaries are set, how actions are monitored from a distance, how humans step back in when
AXD stands for Agentic Experience Design. The \u2018A\u2019 denotes agency \u2014 the capacity of AI systems to act autonomously on behalf of humans. The \u2018X\u2019 represents experience \u2014 the full arc of the human-agent relationship, from initial delegation through absent-state operation to outcome assessment. The \u2018D\u2019 signals design \u2014 the intentional structuring of these relationships rather than leaving them to emerge by accident.
A machine customer is an autonomous AI agent that acts as a buyer on behalf of a human \u2014 discovering products, comparing options, negotiating prices, and completing transactions without the human ever visiting a website or opening an app. Machine customers operate with zero brand loyalty, infinite comparison patience, and no susceptibility to emotional marketing. This concept challenges every assumption of customer experience design.
Canonical definitions and frequently asked questions about Agentic