Defined term
Agentic Experience (AX)
Agentic Experience (AX): patterns for shipping human–AI collaboration with orchestration, guardrails, explainability, and adoption—without silent failure.
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AI Glossary
Is your organisation fluent in the language of AI-enabled delivery? This glossary clarifies the concepts shaping human-AI collaboration, governance, and operational decision-making so leaders and teams can align faster, reduce risk, and ship with confidence.
Defined term
Operational truth
Operational truth: design based on what actually happens in operations—states, exceptions, handoffs, and constraints—so services ship without support debt.
Defined term
Trust cues
Trust cues: design signals that make risk, intent, and control legible—so users understand what a system is doing and why, especially in high-stakes contexts.
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Auditability UX
Auditability UX: making decisions, actions, and states traceable and usable for operators, compliance, and investigations—without turning the product into a dashboard.
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Recoverability
Recoverability: designing flows and systems so failures can be detected, reversed, retried, or safely handed off—without data loss or user harm.
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Consent and control
Consent and control: making permissions, purpose, retention, and revocation understandable and actionable—so users can actually govern their data and identity.
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Progressive autonomy
Progressive autonomy: a deliberate ladder from assistive to autonomous behavior, with guardrails, oversight, and reversibility at each step.
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Contestability
Contestability: designing the ability to challenge, correct, and appeal system decisions—so trust survives mistakes and power remains accountable.
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Decision artefacts
Decision artefacts: lightweight documents that capture context, constraints, tradeoffs, and ownership—so teams move faster with fewer reversals.
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Governance that ships
Governance that ships: operating rhythms, decision rights, and quality gates that increase delivery speed and coherence—without process theatre.
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Common core + local layers
Common core + local layers: a scaling strategy that keeps global coherence while allowing local adaptation—without fragmentation.
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State model
State model: a shared definition of system states and transitions that makes complex journeys governable, recoverable, and auditable.
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Evidence surfaces
Evidence surfaces: UX patterns that show the basis of a recommendation or decision—inputs, constraints, provenance—so outcomes remain explainable and contestable.
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Escalation paths
Escalation paths: predefined handoff routes for blocked decisions and high-risk uncertainty—so teams don’t hide problems until launch.
Defined term
Quality gates
Quality gates: lightweight, risk-based checks that protect high-stakes journeys—so teams ship faster with fewer reversals and fewer incidents.
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