The attribution substrate for AI-driven HR decisions.
A canonical position for tracing which data, models, and agent actions produced HR outcomes — from hiring decisions to performance ratings to compensation changes.
Matched pair · sold together
Held and transacted as one position. A matched .ai + .com pair forecloses its own most common confusable — one coordinate, not two names.
The set
Part of the HR resolution surface.
6 of 7 primitives held for hr. The unheld primitives complete the row.
Held as a matched pair — the HR row holds 2 matched pairs across the seven primitives.
See the full HR opportunity →Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Primary home
Also appears in
Architectural context
HR · Cross-Vertical · 2 compound moats. Architectural surface: Attribution.
Layer position: Cross-cutting
Why this is canonical
As AI takes on more consequential HR decisions, the need to trace those decisions back to their data sources and model behaviors becomes a compliance and trust imperative. 'Attribution' in the HR context maps directly to explainability, audit, and accountability requirements under emerging AI employment law. The .ai TLD places this at the agent-era layer where those requirements originate.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.