Semantic Substrate

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The .ai coordinate for decision provenance — knowing where every choice came from.

A substrate-layer name for the practice of recording and surfacing the full provenance of an AI decision: the data it relied on, the models that shaped it, and the human or automated agents that contributed to it.

Matched pair · sold together

decisionprovenance.aiheld+decisionprovenance.comheld

Held and transacted as one position. A matched .ai + .com pair forecloses its own most common confusable — one coordinate, not two names.

Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.

Primary home

Decision cluster17

Also appears in

Provenance cluster93

Architectural context

Decision · Cross-Vertical · 2 compound moats. Architectural surface: Provenance. Cross-cutting: Decision.

Layer position: Cross-cutting

DecisionProvenance

Why this is canonical

'Decision provenance' applies the W3C PROV provenance model — established for data lineage — to the decision output itself. On .ai, this is the agent-era position for the infrastructure that makes AI choices fully traceable to their origin.

Where it fits

A few directions this coordinate opens —

AI explainability and audit
The infrastructure layer that records the full provenance of every AI decision — inputs, model version, feature attributions, and contributing agents — enabling post-hoc audit and explanation.
AI auditing platforms, explainability tool vendors, enterprise AI governance
Regulated AI compliance
A compliance substrate for high-risk AI systems required to disclose the origin and basis of automated decisions to affected individuals or regulators.
Regulated AI deployments in finance, healthcare, and government; regtech vendors

Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.

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