Relevance
The artifact must address the control requirement directly.
Artificial Intelligence Governance Ratings
AI governance assessment grounded in evidence and defined methodology.
AIGR structures AI governance evaluation across inventory, control assessment, evidence verification, framework mapping, remediation and controlled rating decisions.
Evidence-backedControls tested against supporting evidence
Readiness + RatingsTwo pathways for governance maturity
Framework-alignedStandards and regulatory context
Traceable reportsVersioned outputs with retained audit history
Platform evidence
See the governance record behind the outcome.
AIGR connects control evidence, critical gates and governed decision records so management can see both the analytical result and the evidence supporting it.
01 · Rating outcome
A concise decision signal with the material gate still visible.
The rating view keeps score, evidence completeness, open gates and validity together so a strong average cannot obscure a material control failure.
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02 · Evidence record
Control conclusions remain tied to named artifacts and review states.
Evidence coverage is visible by domain, while each control retains its requirement, artifact, accountable owner and current state.
Explore the governance platform →03 · Governance score
Analytical performance and critical-gate logic are read together.
Dimension scores support diagnosis. The governed outcome remains subject to material blockers, evidence quality and controlled approval.
Evidence standard
Governance claims are tested against evidence.
The methodology separates stated intent from demonstrable operating practice. Evidence is evaluated for relevance, currency, traceability and sufficiency.
Currency
The artifact must reflect the system and assessment period in scope.
Traceability
Ownership, date, source and evidence lineage remain identifiable.
Sufficiency
Evidence should demonstrate that the control operates, not only that it is intended.
Core governance platform
One evidence record. Two governance assessment pathways.
AI Governance Readiness
Rule-based evidence verification, framework readiness analysis, control-gap identification and sequenced governance planning.
AI Governance Ratings
Controlled assessment, evidence review, rating recommendation, independent approval and retained rating decision records.
Separate sector platform
AIGR Real Estate
A dedicated portal for tenant screening, valuation, PropTech, smart-building systems, human oversight, appeals, privacy, vendor governance and evidence-backed critical gates.
Methodology governance
AIGR ratings are scoped governance opinions.
Entity, AI system, lifecycle, jurisdiction and evidence period are defined before issuance. Methodology versions, evidence references and decision records are retained to support reproducibility, review and challenge.