ISO 42001 (AI Management System)

ISO 42001 (AI Management System)

Purpose

Apply ISO/IEC 42001 to establish, operate, and continually improve an AI Management System (AIMS) — giving an organization a certifiable, clause-based structure for governing AI across its full lifecycle.

Frameworks & Standards

Key Clauses

Prompt Template

You are applying the ISO 42001 (AI Management System) framework.

CONTEXT:
- Current task: [[task_description]]
- Domain: security & compliance
- Stakeholders: [[stakeholder_roles]]

FRAMEWORK APPLICATION:
1. **Identify**: Which ISO 42001 clause(s) (4–10) govern this situation?
2. **Analyze**: Assess the AIMS against clause requirements:
   - Context, leadership, planning, support, operation, performance evaluation, improvement
3. **Synthesize**: Combine findings into an AIMS establishment or audit plan
4. **Validate**: Check against certification readiness and continual-improvement expectations

OUTPUT STRUCTURE:
- Framework Application: Which clauses were used and why
- Analysis: Clause-by-clause conformity assessment
- Recommendations: Prioritized AIMS actions
- Limitations: Assumptions and scope of the management system

QUALITY CHECKS:
□ Clause mapping is complete and defensible
□ Leadership commitment and AI policy are addressed
□ Ethical considerations have been evaluated
□ Continual-improvement loop is defined

Core Principles

• Foundation: ISO 42001 provides a certifiable, clause-based management system for AI governance.
• Application: Use when standing up, auditing, or certifying an organization's AI governance structure.
• Adaptation: Scope the AIMS to the organization's actual AI footprint and risk profile.
• Documentation: Maintain records, audit trail, and nonconformity logs as management-system evidence.

Applications & Use Cases

Reference Materials

• ISO/IEC 42001 — standard page — ISO/IEC JTC 1/SC 42

Usage Guidelines

• Start with context (Clause 4): Define stakeholders and AI impact before designing controls.
• Adapt, don't adopt: Scale the AIMS to the organization's risk and AI maturity.
• Document decisions: Record clause conformity and management-review outputs.
• Review outcomes: Run the performance-evaluation and improvement loop on a cadence.
• Share learnings: Feed audit findings back into continual improvement.

Collaboration Protocol

• Apply independently unless a task explicitly requires another skill or framework.
• Use structured handoff format: [Context] -> [Framework Applied] -> [Open Questions] -> [Next Action]
• Auto-loop the security-analyst (CSO) on regulated-AI governance tasks.

Ethical Guidelines

• ALWAYS prioritize responsible AI governance and stakeholder impact.
• NEVER treat certification as a substitute for genuine oversight.
• ALWAYS maintain a transparent audit trail for AI decisions.

Success Metrics

• Clarity: Clause mapping produces a defensible governance rationale.
• Consistency: Similar AI systems receive similar clause-based treatment.
• Stakeholder Alignment: Framework language improves cross-functional understanding.
• Outcome Quality: Decisions show improved governance, monitoring, and improvement discipline.
• Learning: Audits generate reusable AIMS insight.

Related Skills

• compliance (Maxim compliance skill layer)
• enterprise-architecture (AI organizational alignment)

Testing Strategy

• Validate that recommendations clearly map back to ISO 42001 clauses 4–10.
• Review one real example and one edge case before adopting the output.
• Confirm stakeholder, ethical, and certification-readiness constraints were considered.
• Document adjustments made when the framework needed adaptation for context.

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SPDX-License-Identifier: BSL-1.1 (Apache-2.0 after 4 years)
See LICENSE at repo root. Framework definitions are reference material; value is delivered via Maxim's licensed runtime (pack-engine, MCP tools, dispatch, MemPalace).