Sector frameworks
Different operating risks. One governed evidence architecture.
AIGR™ sector frameworks adapt control language, evidence expectations and critical gates to the environments in which AI actually operates while preserving a common rating architecture.
AIGR™ Real Estate
Valuation, tenant screening, leasing, property operations and portfolio analytics.
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02 · Clinical + operational AIAIGR™ Health
Clinical safety, model validation, human oversight, privacy and lifecycle monitoring.
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03 · Banks + insurersAIGR™ Finance
Model risk, explainability, fairness, supplier governance and regulatory reporting.
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04 · Public sectorAIGR™ Government
Legal authority, rights, transparency, procurement, records and public accountability.
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Eight domains stay constant across sectors.
Governance & oversight
Organizational readiness
Risk management
Responsible AI practices
Enterprise architecture
Cybersecurity governance
Regulatory alignment
Operational governance
The architecture remains stable. Evidence expectations change.
A hospital, bank, housing provider and public agency should not be tested with identical artifacts. Sector overlays preserve comparability while requiring evidence appropriate to the real decision context.
Scope, reviewer states, evidence tests, rating scale and critical-gate discipline.
Risk taxonomy, control language, evidence artifacts and materiality thresholds.
Applicable legal and regulatory obligations added to the control map.