Agent-to-Agent Commerce

What is Agent-to-Agent Commerce | AXD Institute?

Agent-to-Agent Commerce — 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 Agent-to-Agent Commerce | AXD Institute

How do agent-to-agent commerce and how does it work relate to agentic commerce?

  1. Agency requires intentional delegation — every agentic system begins with a designed act of delegation
  2. Trust is the primary material — AXD works in trust rather than attention
  3. Absence is the primary use state — the most consequential experiences happen when no one is watching
  4. Relationships have temporality — agentic experiences accumulate history over time
  5. Outcomes replace outputs — AXD designers specify results, not interfaces
DimensionTraditional UXAgentic Experience Design (AXD)
Primary materialAttention and affordanceTrust and delegation
User statePresent, navigatingAbsent, delegating
Design outputScreens and interfacesOutcomes and constraints
Temporal modelSession-basedRelationship-based
Success metricTask completionTrust calibration

Frequently Asked Questions

What is agent-to-agent commerce and how does it work?

Agent-to-agent commerce is the practice of AI agents transacting directly with other AI agents - a buyer's procurement agent negotiating with a supplier's sales agent, without human involvement in the transaction itself. It works through structured protocols: discovery (agents find each other through capability advertisement), negotiation (agents exchange structured proposals within their delegated authority), settlement (agents execute agreed transactions through atomic protocols), and verifica

How do AI agents establish trust with other AI agents?

Agent-to-agent trust establishment follows a structured protocol defined by the AXD Trust Architecture framework. Identity verification: each agent presents verifiable credentials proving its identity and the identity of its principal organisation. Authority verification: each agent provides evidence of its delegated authority - what it is authorised to negotiate, commit to, and execute. History exchange: agents share or reference their transaction history, reliability metrics, and trust scores

How do you design negotiation protocols for AI agents?

Designing negotiation protocols for AI agents requires structured multi-attribute frameworks. Define the negotiable attributes (price, quantity, delivery, quality, payment terms, warranties) and their acceptable ranges for each party. Implement proposal-counterproposal exchange protocols where each offer is a structured document with explicit values for every attribute. Build concession strategy frameworks that enable agents to make rational trade-offs within their delegated authority. Include m

What human oversight is needed for agent-to-agent commerce?

Human oversight for agent-to-agent commerce operates at three levels. Authority setting: humans define the agent's mandate - what it can negotiate, what limits apply, and what terms are non-negotiable. This happens before the agent engages in commerce. Exception handling: humans intervene when the agent encounters situations outside its mandate - new counterparties, unusual terms, authority boundary approaches, or negotiation deadlocks. This happens during commerce when the agent escalates. Post

How do you handle disputes in agent-to-agent commerce?

Dispute handling in agent-to-agent commerce requires protocol-defined resolution mechanisms because human negotiation is not the default. When fulfilment does not match agreement, the buyer agent raises a structured dispute containing: the specific terms that were not met, the evidence of non-conformance, and the requested remedy. The supplier agent responds with a structured defence or acknowledgement. If agents cannot resolve the dispute through protocol exchange, the system escalates through

Key Takeaways

Agentic Experience Design (AXD) is a new discipline for the age of autonomous AI. It addresses trust architecture, delegation design, and human agent interaction — the core challenges of agentic commerce and agentic shopping.

References and Citations

Gartner: Machine Customers Will Be a Multibillion-Dollar Opportunity Harvard Business Review: The Age of AI Agents McKinsey: The State of AI in 2024 About the AXD Institute Contact Us Email the AXD Institute Tony Wood on LinkedIn Tony Wood on X (Twitter)