Knowledge Base

A parallel design discipline to UX, purpose-built for autonomous AI systems that act without direct human supervision.

Commerce in which AI agents — not humans — serve as buyers, sellers, or negotiators, transacting within delegated authority on behalf of human principals.

An autonomous agent that acts as a customer on behalf of a human — negotiating, purchasing, comparing, and transacting in markets without direct human involvement.

The practice of designing the structures through which humans grant, constrain, monitor, and revoke authority given to autonomous agents.

The structural design of layered mechanisms through which humans grant, calibrate, maintain, and recover confidence in autonomous AI agents.

The measurable preparedness of a business to serve autonomous AI agents as customers, evaluated across four pillars: Signal Clarity, Reputation via Reliability, Intent Translation, and Engagement Architecture.

The stratum of financial services that operates through autonomous agents without any visible interface activity — banking negotiated, adjusted, and optimised while the human is absent.

The fully realised state of agentic commerce in which AI agents on both sides of a transaction negotiate, agree, execute, and settle without any human involvement at the point of sale.

The design of experiences that unfold without a human present, and whose quality is judged only when the human returns to assess the result.

The counterpart to Know Your Customer (KYC) for the age of agentic commerce — establishing the identity, authority, behavioural boundaries, and principal lineage of an autonomous agent acting on a customer’s behalf.

The commercial condition in which an autonomous AI agent completes an entire purchase cycle — discovery, evaluation, selection, negotiation, and transaction — without the human customer ever visiting a product page, reading a review, or interacting with a checkout interface.

The design property that makes an autonomous system’s state, capabilities, constraints, and reasoning accessible to human understanding — not merely visible, but comprehensible. The prerequisite for trust calibration in agentic AI systems.

The domain of autonomous commerce in which AI agents represent organisations — not individual consumers — in procurement, negotiation, supplier evaluation, contract management, and fulfilment.