AIGR™ Artificial Intelligence
Governance Ratings
AIGR™ · Artificial Intelligence Governance Ratings

Evidence in.
Governed assessment out.

AIGR™ provides AI Governance Ratings for enterprise AI systems. Its Artificial Intelligence Governance Ratings methodology converts governance requirements into traceable evidence, controlled review states and a decision signal that can be understood before an AI system enters production.

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AIGR™ INDEX ASSESSMENT · ILLUSTRATIVE REF AIGR-RE-0247

Tenant Screening Assistant (RE-4)

AIGR™ Real Estate v1.0 · Risk class: High

AIGR-70 Developing governance
Score 72Gate holds
Governance Score™
72 / 100
Decision
Conditional
Open gates
1 · DP-07
Evidence complete
86%
Valid to
2027-02-28
Critical gate open

Retention and deletion evidence is not supplied. The gate holds the decision at Conditional regardless of the Governance Score.

Illustrative only · no issued rating
Evidence modelOwned + traceable
Review modelControlled states
Decision modelScore + critical gates
Why AIGR™

Governance has to be evidenced before it can be relied on.

01 · Evidence

Traceable, not asserted.

Material conclusions are tied to named artifacts, owners, dates and review states.

02 · Review

Controlled judgment.

Reviewer decisions, exceptions and blockers remain visible in the assessment record.

03 · Decision

Readable outcome.

Analytical scoring and critical-gate logic resolve into a concise governance signal.

What AIGR™ delivers

Three connected surfaces. One governed evidence record.

01 · Assessment

AI Governance Assessment

Define scope, test evidence, identify blockers and establish remediation priorities.

Explore assessment ↗ 02 · Platform

AI Governance Platform

Maintain systems, controls, evidence, approvals and monitoring in one operating record.

Explore platform ↗ 03 · Ratings

AI Governance Ratings

Translate validated evidence, score and critical gates into an AIGR™ Artificial Intelligence Governance Rating.

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Sector frameworks

Different operating contexts. Common assessment discipline.

AIGR™ applies the same evidence and review model across sector-specific governance requirements.

Property AI · valuation · screening

AIGR™ Real Estate

Fair-housing controls, valuation integrity, data provenance, human review and lifecycle monitoring for AI used across real estate.

Explore framework ↗
Core control areas
  • Fair housing & bias
  • Valuation integrity
  • Data provenance
  • Human review & appeals
  • Market monitoring
Operating model

Evidence. Review. Decision.

A simple governed sequence keeps the assessment understandable while preserving the underlying record.

01Evidence

Build the record.

Requirements are linked to artifacts, owners, dates and system scope.

02Review

Control the judgment.

Evidence is validated, challenged or blocked using defined reviewer states.

03Decision

Publish the signal.

Score, evidence confidence and critical gates resolve into the governed outcome.

Methodology

What makes an assessment defensible.

Defined scope, traceable evidence, controlled reviewer states, critical-gate logic and documented rating governance make an assessment reproducible and comparable.

Read the methodologyPDF · AI GOVERNANCE RATINGS FRAMEWORK 2026 · DOWNLOAD ↗
Analytical layer

The AIGR Governance Score™ provides the detailed analytical measure.

Rating layer

The AIGR™ designation provides the operative governance opinion for executive interpretation.

Critical gates

Material blocker states cannot be averaged away by stronger performance elsewhere.

Governance

Scope, reviewer challenge, approval, monitoring and appeal remain part of the rating record.

Enterprise assessment

Establish governance readiness before production.

Bring a defined AI system into a structured evidence review to identify control gaps, critical gates and rating readiness.

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