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ISO/IEC 42001 · AIMS · Regulation (EU) 2024/1689
AI Audit: verifiable control of algorithmic risk
Independent AI governance assessment. System inventory, traceability, algorithmic risks, and evidence-based remediation plan. Not opinion: auditable evidence.
Lead Auditor ISO/IEC 42001Lead Auditor ISO/IEC 27001IAC Regional Director LATAM
ISO 42001Reference framework
95Countries with deployments
6Documented deliverables
"Auditing AI is not about opining on algorithms. It is about verifying governance, risks, and traceability with evidence."Fernando Arrieta — Lead Auditor ISO/IEC 42001
Who it's for
Who needs to audit their AI?
Any organization that uses, develops, or contracts artificial intelligence systems and needs to demonstrate control, compliance, or accountability.
Boards and senior leadership
They need evidence that AI is governed: risks identified, controls implemented, and human oversight operational.
CISOs and security leaders
AI introduces new risk vectors: data access, vendor dependency, Shadow AI. They need a verifiable map.
Compliance and legal
Regulation (EU) 2024/1689 requires documentation, risk classification, and oversight. The audit generates compliance evidence.
Scope
What is audited in an AI system
Governance and roles
AI policy, roles and responsibilities (RACI), human oversight, accountability, and alignment with organizational strategy.
Algorithmic risk
Risk identification and assessment: bias, opacity, explainability, vendor dependency, impact on fundamental rights.
Data and traceability
Training data quality, lineage, versioning, ownership, consent, anonymization, and access controls.
Operational controls
Production monitoring, incident management, rollback, logging, alerts, and escalation procedures.
Vendors and third parties
AI vendor evaluation, contracts, SLAs, portability, dependency, and concentration risk.
Continuous improvement
PDCA cycle applied to AI: performance metrics, management review, corrective actions, and documented lessons learned.
Regulatory frameworks
Normative basis of the audit
- 01
ISO/IEC 42001:2023 — Artificial Intelligence Management System (AIMS). Requirements, controls, and Annex A control objectives. The international reference standard for auditable AI governance.
- 02
ISO/IEC 23894:2023 — AI risk management guidance. Complements ISO 31000 with specific criteria for algorithmic, data, and social impact risks.
- 03
Regulation (EU) 2024/1689 — European AI Regulation. Risk classification, documentation obligations, human oversight, and transparency. A global regulatory benchmark.
- 04
ISO/IEC 27001 + 27701 — Information security and privacy. AI does not operate in a vacuum: ISO 27001 access controls, encryption, and traceability are prerequisites for governed AI.
Deliverables
What you receive
Each deliverable is a governance tool, not a document to file away.
AI systems inventory
Complete registry of all AI systems in use: purpose, data, vendors, owners, and risk level.
Algorithmic risk map
Risk assessment per system: bias, opacity, vendor dependency, data quality, and regulatory exposure.
Findings matrix
Findings prioritized by severity with documentary evidence, evaluation criteria, and remediation timelines.
Executive report
Summary for leadership and boards: governance status, critical risks, and recommended actions.
Remediation backlog
Prioritized action plan with owners, timelines, resources, and closure verification criteria.
AIMS maturity roadmap
AI management system evolution roadmap: from current state to ISO/IEC 42001 conformity.
Algorithmic Risk Diagnostic
Take this quick assessment to understand your organization's exposure to AI risks under ISO/IEC 42001 & EU AI Act.
Step 1 of 4
Does your organization use AI systems that process biometric data, critical infrastructure, or automated hiring?
FAQ
AI Audit: what leadership usually asks
What is an AI audit?
It is a systematic and independent evaluation of the use of artificial intelligence in an organization. It reviews AI systems inventory, governance, algorithmic risks, data quality, bias, transparency, and controls. The primary reference framework is ISO/IEC 42001 (AIMS).
What is ISO/IEC 42001 for?
ISO/IEC 42001 establishes the requirements for an Artificial Intelligence Management System (AIMS). It defines how an organization should govern, manage risks, and continuously improve the use of AI. It is the international reference standard for auditable AI governance.
How does it relate to Regulation (EU) 2024/1689?
The European AI Regulation classifies systems by risk level and requires documentation, human oversight, transparency, and risk management. An audit under ISO/IEC 42001 generates evidence compatible with these regulatory requirements.
What deliverables does the AI audit produce?
AI systems inventory, algorithmic risk map, findings matrix with severity, executive report for leadership, prioritized remediation backlog, and AIMS maturity roadmap.
Can we start without having an AI management system?
Yes. The audit can function as a gap assessment: it evaluates the current state against ISO/IEC 42001 requirements and generates a risk-prioritized implementation roadmap.
How long does it take?
The preliminary diagnosis takes 72 business hours. A complete AI governance audit ranges between 3 and 8 weeks depending on scope, number of systems, and organizational maturity.
Acreditaciones y membresías institucionales
Evidence-based AI audit starts with a clear conversation.
If your organization needs to assess its AI systems against ISO/IEC 42001, this is the channel to discuss scope and methodology. All inquiries are handled under confidentiality.
The consulting and implementation services described on this site are provided independently. Certification audits and decisions are the exclusive responsibility of accredited certification bodies. In accordance with ISO/IEC 17021-1 §5.2, impartiality restrictions and cooling-off periods apply.