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AIGR

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What AIGR is

AIGR is a web platform that produces governance ratings for enterprise AI systems. Its assessment workflow sets scope, reviews evidence, identifies blockers, and prioritizes remediation. The system of record holds AI inventories, controls, evidence, review decisions, monitoring events, ownership, intended use, findings, exceptions, approvals, and challenge history. Evidence is checked for relevance, currency, traceability, and sufficiency. AIGR separates a 0–100 analytical Governance Score from categorical designations AIGR-100 through AIGR-40, with AIGR-NR when evidence, scope, or review conditions do not support an opinion. Material control failures can hold an outcome despite a strong score. Model, vendor, policy, incident, or evidence changes can trigger reassessment. Frameworks are listed for real estate, health, finance, and government. Ratings are scoped governance opinions, not certifications, legal advice, audit opinions, regulatory approvals, or compliance attestations. Pricing is on request.

Who it suits

AIGR is designed for organizations deploying AI in regulated or high-accountability environments. Its ratings are presented as decision support for boards, buyers, and risk teams.

What it does well

  • Keeps inventories, controls, evidence, and decisions together
  • Evidence review checks relevance and traceability
  • Reassessment can follow material changes or incidents
  • Frameworks listed for four sectors
  • Includes cybersecurity governance scope

What to know first

  • Pricing is available only on request
  • Ratings are not certifications or legal advice
  • Public contact form excludes confidential evidence
  • AIGR-NR may apply when conditions lack support

Verdict

AIGR provides a structured record and rating process for ongoing AI governance review. Organizations should treat its output as a scoped governance opinion rather than a compliance or certification result.

Facts from AIGR's own pages

Assessment
Its assessment process is described as defining scope, testing evidence, identifying blockers and setting remediation priorities. · aigrglobal.com, 11 Oct 2026
Availability and terms
Separate written terms govern paid assessments, platform access, rating engagements and other contracted services. · aigrglobal.com, 11 Oct 2026
Critical gates
A material control failure can hold the governed outcome even when the analytical score is strong. · aigrglobal.com, 11 Oct 2026
Evidence review
Evidence is evaluated for relevance, currency, traceability and sufficiency. · aigrglobal.com, 11 Oct 2026
Headquarters
Toronto, Canada · aigrglobal.com, 28 Sept 2026
Intended users
AIGR describes its ratings as decision support for boards, buyers and risk teams. · aigrglobal.com, 11 Oct 2026
Limitations
AIGR describes its rating as a scoped governance opinion, not a certification, compliance attestation, audit opinion or regulatory approval. · aigrglobal.com, 11 Oct 2026
Monitoring
Material changes, incidents and evidence expiry can trigger reassessment. · aigrglobal.com, 11 Oct 2026
Ongoing review
Model updates, vendor changes, incidents and policy changes can trigger reassessment. · aigrglobal.com, 11 Oct 2026
Platform
The platform is designed to keep AI system inventories, controls, evidence, review decisions and monitoring events in one system of record. · aigrglobal.com, 11 Oct 2026
Privacy limit
The public contact form should not be used to submit confidential client evidence, sensitive personal information or production credentials. · aigrglobal.com, 11 Oct 2026
Purpose
AIGR develops AI Governance Ratings for organizations deploying AI in regulated and high-accountability environments. · aigrglobal.com, 11 Oct 2026
Rating limitation
AIGR states that its rating is not a certification, regulatory approval, legal advice, audit opinion or compliance attestation. · aigrglobal.com, 11 Oct 2026
Rating method
AIGR separates a 0–100 analytical Governance Score from categorical ratings ranging from AIGR-100 to AIGR-40, with AIGR-NR for cases where conditions do not support an opinion. · aigrglobal.com, 11 Oct 2026
Rating scale
AIGR uses categorical designations from AIGR-100 through AIGR-40, plus AIGR-NR when evidence, scope or review conditions do not support a rating. · aigrglobal.com, 11 Oct 2026
Sector frameworks
The site lists frameworks for real estate, health, finance and government. · aigrglobal.com, 11 Oct 2026
Security
AIGR’s privacy policy describes its services as designed around controlled access, evidence ownership and auditability, and lists safeguards such as role-based access, authentication controls, encryption where appropriate, logging and backup. · aigrglobal.com, 11 Oct 2026
Security and privacy scope
The methodology includes cybersecurity governance covering access, model and data security, supplier controls and incident readiness. · aigrglobal.com, 11 Oct 2026
Standards alignment
AIGR maps external obligations and internal control expectations to evidence, while stating that this alignment does not imply certification, endorsement or legal compliance. · aigrglobal.com, 11 Oct 2026
Support and contact
Organizations can request an assessment discussion by email or through the site's enquiry form. · aigrglobal.com, 11 Oct 2026
Who it serves
AIGR says it develops ratings for organizations deploying AI in regulated and high-accountability environments. · aigrglobal.com, 11 Oct 2026
Workflow
The platform records system ownership and intended use, control expectations, evidence artifacts, findings, exceptions, approvals and challenge history. · aigrglobal.com, 11 Oct 2026

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