AI Governance Ratings Methodology

A governed methodology for evidence-backed AI governance opinions.

An AIGR rating is a point-in-time governance opinion within a defined entity, system, lifecycle, jurisdiction and evidence period. The public methodology describes the rating architecture, evidence standard, review controls and rating actions while keeping proprietary weights, thresholds and calibration logic controlled.

Download Full MethodologyVisit AIGX ResearchPDF · AIGR Public Methodology v1.0 · August 2026
Methodology principle

Defensibility comes from disciplined governance of the rating.

The rating process is designed around explicit scope, evidence traceability, controlled judgment, separate issuance authority and ongoing monitoring. The objective is reproducibility from the methodology version, assessment record and retained decision history.

01

Scope

Define the subject of the opinion before assessment begins.

02

Evidence

Anchor material conclusions to reviewable records.

03

Judgment

Record exceptions, findings and material interpretation.

04

Issuance

Separate final rating approval from routine assessment activity.

05

Monitoring

Track material change, incidents, remediation and rating triggers.

Two analytical layers

The analytical score and the published rating designation serve different purposes.

Separating diagnostic analysis from the categorical outcome preserves analytical depth without presenting the rating as a percentage, probability or credit score.

Analytical layer

Governance Score

A 0–100 analytical measure supports diagnostics, remediation prioritization and longitudinal trend analysis. Calculation logic remains controlled.

Rating layer

AIGR designation

A categorical designation from AIGR-100 through AIGR-40, plus AIGR-NR, provides the executive-level governance opinion.

Rating architecture

Eight domains create the public enterprise governance view.

Sector and jurisdiction overlays adjust materiality and evidence expectations while preserving a consistent core architecture.

01Governance & oversight
02Organizational readiness
03Risk management
04Responsible AI practices
05Enterprise architecture
06Cybersecurity governance
07Regulatory alignment
08Operational governance
Rating lifecycle

A controlled decision process from intake through monitoring.

01

Intake

Define organization, AI system, use case, sector and perimeter.

02

Classify

Set risk context, materiality and evidence expectations.

03

Assess

Evaluate controls, evidence, findings and deficiencies.

04

Review

Challenge evidence quality, interpretation, exceptions and conflicts.

05

Rate

Approve the designation, rationale, conditions and decision record.

06

Monitor

Track validity, change triggers, incidents and re-review.

AIGR rating scale

Seven categorical designations, plus Not Rated.

The designation summarizes governance maturity and evidentiary confidence inside the stated perimeter.

AIGR-100Exemplary governanceLeading maturity
AIGR-90Advanced governanceHigh confidence
AIGR-80Established governanceEstablished
AIGR-70Developing governanceImprovement required
AIGR-60Emerging governanceMaterial remediation
AIGR-50Limited governanceHigh concern
AIGR-40Critical governance concernUrgent review
AIGR-NRNot ratedInsufficient scope, evidence or conditions
Scale interpretation

AIGR-100 through AIGR-40 are categorical designations. They are not percentages, probabilities, credit ratings or guarantees. The separate Governance Score supports analysis but is not itself the published rating designation.

Scope definition

Five parameters define the rated perimeter.

ParameterWhat is fixedWhy it matters
EntityLegal entity and accountable business unitEstablishes ownership of controls and remediation.
SystemNamed AI system, version and intended usePrevents the rating from being transferred to unrelated systems.
LifecycleDevelopment, deployment or operating stageDetermines the evidence expected at the assessed stage.
JurisdictionTerritorial and sector contextDefines the regulatory and sector overlays applied.
PeriodEvidence window and as-at dateMakes clear that the opinion is point-in-time and evidence-bound.
Evidence standard

Four tests determine whether evidence can support a conclusion.

A policy is not sufficient merely because it exists. Evidence must be fit for the requirement and capable of supporting the operating conclusion being reached.

01

Relevance

The artifact addresses the control requirement directly.

02

Currency

The artifact reflects the system and evidence period in scope.

03

Traceability

Owner, date, source and evidence lineage remain attributable.

04

Sufficiency

The artifact demonstrates operating practice rather than design intent alone.

Verified

Current, attributable and sufficient evidence supports the conclusion.

Qualified / partial

Relevant evidence exists but limitations reduce confidence.

Self-attested

Management assertion is recorded without sufficient reviewable support.

Absent / blocker

Required evidence is missing, rejected or a material gate prevents reliance.

Independence & conflicts

Assessment, remediation support and rating issuance are separated.

The governance model is designed so commercial or advisory activity does not determine the published designation.

Function 01

Assessment

Collects and tests evidence, records findings and establishes control conclusions.

Function 02

Remediation support

Supports closure of governance gaps and remains separate from final rating approval.

Function 03

Rating issuance

Challenges the record and approves, modifies or declines the designation.

Conflicts management

Potential conflicts are identified at intake and retained in the rating record. Where conflicts cannot be managed through appropriate separation or other controls, the engagement can be declined or the outcome designated AIGR-NR.

Rating actions

An issued rating remains subject to defined actions.

Affirmation

Current evidence continues to support the designation.

Upgrade / downgrade

Material change in governance capability or evidence changes the designation.

Conditional

A material gate or unresolved condition constrains the outcome.

Suspension

The opinion is paused while a material incident, change or evidence issue is investigated.

Withdrawal

The rated scope no longer applies or continued use of the rating is not supportable.

Not Rated

Scope, evidence, independence or assessment conditions do not support an opinion.

Challenge & appeal

Material factual or methodological issues can be challenged through a recorded process.

Grounds can include factual error, material evidence not considered, misapplication of the methodology or material scope misstatement. The determination is retained whether or not the designation changes.

Methodology governance

The framework itself is controlled and versioned.

Versioning

Issued ratings identify the methodology version and effective period applied.

Change control

Material changes to criteria, gates or scale are documented prospectively.

Calibration

Decision consistency is evaluated across assessments and reviewers.

Confidentiality

Client evidence remains tenant-segregated and is not reproduced in public outputs without authorization.

Benchmarks

Cohorts are constructed subject to consent, confidentiality and sufficient comparability.

Records

Evidence, findings, review challenge, approvals and rating actions are retained for reconstruction and appeal.

Framework mapping & sector overlays

One governance architecture can support multiple sector and regulatory contexts.

Mappings provide traceability and readiness support. They do not convert an AIGR rating into a certification, statutory conformity assessment or legal conclusion.

LayerTreatment
Core architectureCommon governance domains, evidence rules and retained decision records.
Sector overlayControl emphasis and evidence expectations reflect sector materiality and use case risk.
Jurisdiction overlayApplicable legal context informs the requirements assessed within scope.
Framework mappingControls can be cross-referenced to external standards and regulatory obligations.
Critical gatesSevere weaknesses in safety, privacy, security, accountability or evidence integrity can constrain the outcome.
Rating use & limitations

Interpretation remains bounded by the scope and evidence.

A rating is

An opinion on governance maturity and evidentiary confidence within the defined assessment perimeter.

A rating is

A point-in-time decision-support signal subject to monitoring and defined rating actions.

A rating is not

A certification, accreditation, legal opinion, audit opinion or regulatory approval.

A rating is not

A percentage, probability, credit rating, financial recommendation or safety guarantee.

Download Full MethodologyVisit AIGX ResearchPDF · AIGR Public Methodology v1.0 · August 2026