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AEGIS-AI Governance & Reporting Checklist
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About this template
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This workbook adapts the logic of an international content-index template into an AI governance and reporting checklist. It is designed as a practical foundation for organizations that build, buy, deploy, supervise, or release AI systems. The checklist is based on the AEGIS-AI 1.2 research developed in this project and cross-references major global AI, privacy, incident-reporting, assurance, provenance, and corporate-governance frameworks.

The central principle is simple: an organization should be able to show what AI it uses, who is accountable, what authority the system has, what evidence supports its safety, who formally accepts residual risk, how incentives affect safety decisions, what happens when controls fail, and how the organization reports and learns from incidents. For irreversible releases such as broadly distributed model weights, governance must happen before release because technical recall may be impossible.

This is a proposed independent checklist, not a law, certification scheme, or substitute for legal, regulatory, cybersecurity, privacy, labor, sector, or professional obligations. Where applicable law is stricter, the stricter obligation prevails.
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Suggested statement of use
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[Organization] has used the AEGIS-AI Governance & Reporting Checklist for the period [start date] to [end date]. The scope covers [business units / AI systems / geographies]. The highest operational tier in scope is [T0-T5]. The organization has [self-assessed / internally audited / independently assured] the disclosures identified in this index.
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Core reporting rule
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A reporting index should point to evidence, not become the evidence repository itself. Keep detailed model logs, security architecture, personal data, vulnerability details, and privileged legal analysis in controlled systems. In the checklist, record the evidence location, assurance status, and any justified omission. Do not hide a material gap behind the label 'not applicable.'
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Version1.1 proposed checklist
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Research basis
AEGIS-AI 1.2 + current global framework mapping
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PreparedSeptember 6, 2026
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Workbook tabs
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Guidance - how to complete the checklist.
Dashboard - readiness summary plus board risk metrics from the AEGIS-AI board dashboard.
AI Governance Index - GRI-style reporting index for internal or external reporting.
Operational Tracker - filterable working checklist with evidence, status, gaps, residual-risk sign-off, incentives, and assurance.
Incident Report - standardized AI incident-reporting fields and severity ladder.
Global Framework Map - current reference instruments and legal-status notes.
Definitions - operational definitions and AEGIS-AI T0-T5 tiers.
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