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Overview

AIMO stands for AI Management Office. AIMO Standard defines: - a shared taxonomy - a code system - an initial dictionary - an EV template - validator checks (spec + minimal reference implementation)

This repository publishes: - human-readable spec (HTML) - machine-readable artifacts (schemas/templates/examples) - official PDF releases

Positioning: Companion to ISO/IEC 42001 (AIMS)

AIMO Standard is an implementation accelerator for evidence readiness and explainability that can be used to support ISO/IEC 42001–aligned AI Management Systems (AIMS) and to structure audit-ready evidence. It does not replace ISO/IEC 42001 or any other management-system standard; it adds a taxonomy, evidence bundle structure, and coverage mapping that help operationalize and evidence those controls.

What AIMO is

  • Taxonomy and code system for AI governance classification
  • Evidence bundle structure (manifest, object_index, payload_index, integrity)
  • Validator and coverage mapping for traceability
  • Conformance levels (Foundation, Operational, Audit-Ready) — AIMO-only maturity tiers for evidence packaging

What AIMO is not

  • Legal advice
  • ISO certification or a substitute for certification
  • A guarantee of regulatory compliance
  • A replacement for auditor judgment or accredited certification bodies

Why now

  • ISO/IEC 42006 (published 2025-07) specifies requirements for bodies auditing and certifying AI management systems against ISO/IEC 42001, raising expectations for auditable evidence and traceability.
  • The EU AI Act is in progressive application (2025–2027); harmonised standards, when published in the Official Journal, will provide presumption of conformity. The EU AI Office is preparing practical guidelines during 2026 (high-risk classification, Article 50 transparency, incidents, QMS elements).
  • Adopters and certification bodies increasingly use ISO/IEC 42001 as a system layer for AI governance; AIMO helps structure evidence that supports that layer without claiming certification.

References