A.3.2 Reporting Structure for AI — ISO 42001 Compliance Guide
AI incidents and governance decisions demand visibility across your organization. Control A.3.2 requires a formal reporting structure that escalates AI risks to decision-makers before they become crises. Without it, critical AI concerns get lost in silos.
What this means
Your organization must establish a defined reporting structure specifically for AI-related concerns, incidents, and performance data. This structure ensures that AI risks, security issues, and operational failures reach the appropriate management levels quickly. The mechanism must support escalation of significant AI risks and provide leadership with the information needed to make informed governance decisions. It's not just a reporting chain—it's a safety valve that prevents AI problems from being overlooked or mishandled at lower organizational levels.
How to comply
- 1.Map all AI systems and identify which teams own, operate, or depend on them across your organization
- 2.Define clear escalation paths for AI incidents, from first responder through C-level if severity warrants
- 3.Establish severity thresholds that trigger automatic escalation (e.g., model accuracy drop >5%, security breach, bias incident)
- 4.Designate an AI governance owner or committee responsible for receiving and acting on escalated reports
- 5.Create incident report templates that capture AI-specific details: system affected, nature of concern, business impact, and recommended action
- 6.Implement a tracking system (ticketing, log, or dashboard) to document all AI concerns and resolution status
- 7.Schedule regular reviews (monthly or quarterly) of AI incident reports with management stakeholders
- 8.Test the reporting structure with tabletop exercises or simulated incidents to confirm it works under pressure
- 9.Document the reporting structure in your AI governance policy and communicate it to all relevant staff
Evidence auditors look for
- Documented AI incident reporting policy with defined roles, escalation paths, and severity thresholds
- AI governance committee charter or charter that includes escalation authority and decision-making scope
- Incident log or tracking system showing at least 3–6 months of AI-related reports with escalation outcomes
- Email or Slack templates used for reporting AI concerns with required fields (system, impact, urgency)
- Meeting minutes from AI governance reviews discussing reported incidents and management responses
- Training records confirming staff understand when and how to report AI incidents
- Tabletop exercise or incident simulation report demonstrating the reporting structure was tested
- Signed acknowledgment from department heads confirming they received and reviewed the reporting structure
Frequently asked questions
When will FAQs be available?
The FAQ for this control is currently being prepared.
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