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 research vehicles parametrically - evaluating safety ratings, total cost of ownership, reliability data, and resale values against buyer priorities. They will simultaneously negotiate with multiple dealers, compare total transaction costs including financing, and identify optimal purchase configurations without showroom visits.
AI agents eliminate the information asymmetry that favours dealers by operating with comprehensive market data - transaction prices, incentive details, inventory levels, and financing rates. This creates pressure for transparent, programmatic pricing and shifts competition from negotiation skill to verifiable value.
Manufacturers should publish comprehensive structured vehicle data, build transparent pricing infrastructure with programmatic APIs, open vehicle telemetry for agent-managed maintenance, and design end-to-end programmatic purchasing capability from configuration through delivery.
Yes - agents can manage the entire ownership lifecycle including predictive maintenance scheduling, warranty claims, insurance optimisation, recall management, and eventual resale or trade-in - all operating within the owner's delegated authority and trust-governed constraints.
Agents need machine-readable vehicle specifications, verified safety and performance data, total cost of ownership models, real-time pricing and inventory data, vehicle telemetry APIs for health monitoring, and structured service history - all in standardised formats that enable parametric comparison and autonomous decision-making.
Vehicle selection has traditionally been an emotional, showroom-driven process - test drives, brand loyalty, dealer relationships, and negotiation dynamics. The information asymmetry between dealer and buyer is a structural feature of automotive retail. AI agents fundamentally disrupt this dynamic. An agent selecting a vehicle evaluates specifications parametrically. Safety ratings, fuel efficiency, total cost of ownership, depreciation curves, reliability data, insurance costs, maintenance schedules, and resale values - all weighted against the buyer's stated priorities and constraints. The agent does not respond to showroom ambiance or sales pressure. It evaluates Automotive pricing is notoriously opaque - manufacturer suggested retail prices, dealer markups, incentive programmes, trade-in valuations, financing terms, and add-on packages create a complex negotiation landscape designed to maximise dealer margin through information asymmetry. AI agents eliminate this asymmetry. An agent negotiating a vehicle purchase operates with comprehensive market data Agentic commerce in automotive extends far beyond the initial purchase. Vehicle ownership involves maintenance scheduling, warranty claims, insurance management, recall notifications, and eventual resale or trade-in - all tasks that AI agents can manage autonomously throughout the ownership lifecycle. Publish comprehensive structured vehicle data. Every vehicle model should be expressed in machine-readable formats with detailed specifications, safety ratings, performance data, configuration options, and total cost of ownership models. Adopt schema.org automotive vocabularies and industry-standard data formats. Build transparent pricing infrastructure. Publish machine-readable pricing including MSRP, available incentives, dealer inventory, financing options, and real-time transaction data. Enable programmatic price comparison and negotiation via APIs. The Provide APIs for vehicle health monitoring, maintenance sche