ISO 42001 - Control A.9.4 – Intended Use of the AI System

ISO 42001 - Control A.9.4 – Intended Use of the AI System by [Kimova AI](https://kimova.ai)

Control A.9.4 – Intended Use of the AI System

In todays article by Kimova AI, we explore Annex A Control A.9.4 – Intended Use of the AI System, a critical control that ensures AI systems are used strictly within their defined purpose and operational boundaries.

From an ISMS auditor’s perspective, one of the most common and high-risk issues in AI governance is misuse or unintended use of AI systems. This control directly addresses that risk by requiring organizations to clearly define, document, and enforce the intended use of AI systems.

Objective of Control A.9.4

The primary objective of this control is to ensure that:

  • AI systems are used only for their intended purpose
  • Limitations and constraints are clearly defined
  • Misuse or unintended application is prevented

This helps reduce risks associated with incorrect outputs, ethical concerns, and regulatory non-compliance.

What Is “Intended Use” in AI Systems?

“Intended use” refers to the specific purpose, context, and conditions under which an AI system is designed to operate. It includes:

  • the business function the AI system supports
  • the type of decisions it influences
  • the target users or stakeholders
  • the operational environment and constraints

For example, an AI model designed for customer support automation should not be repurposed for financial decision-making without proper reassessment and controls.

Why This Control Is Important

Using AI systems outside their intended purpose can lead to:

  • inaccurate or misleading outcomes
  • ethical and fairness issues
  • increased operational risk
  • legal and regulatory violations
  • reputational damage

As auditors, we frequently observe that organizations deploy AI systems correctly—but fail to control how they are used over time, especially as use cases evolve.

Key Requirements Under Annex A Control A.9.4

To demonstrate conformity with ISO/IEC 42001, organizations should ensure:

  • Intended Use Is Clearly Defined

Each AI system must have documented intended use, including scope, purpose, and limitations.

  • Prohibited Use Is Identified

Organizations should explicitly define what the AI system must not be used for.

  • Communication to Users

Users must be informed about the intended use and limitations of the AI system.

  • Controls to Prevent Misuse

Technical and procedural controls should restrict unauthorized or unintended usage.

  • Periodic Review of Use Cases

Intended use should be reviewed as business needs and AI capabilities evolve.

Audit Perspective: What Auditors Look For

During ISO/IEC 42001 audits, evidence may include:

  • documented intended use statements for AI systems
  • user guidelines and system documentation
  • access and usage restrictions
  • records of misuse detection or incidents
  • alignment between design purpose and actual usage

At Kimova AI, we often find that clearly defined intended use statements significantly improve both governance clarity and audit outcomes.

Implementation Best Practices

Organizations can strengthen compliance with this control by:

  • creating AI system fact sheets or model cards
  • embedding intended use definitions into system documentation
  • implementing access controls aligned with intended use
  • conducting regular usage reviews and audits
  • training users on correct and incorrect use scenarios

These practices ensure that AI systems remain aligned with their original purpose and risk profile.

Conclusion

Annex A Control A.9.4 reinforces a key principle of responsible AI: AI systems should only be used within the boundaries for which they were designed.

By clearly defining and enforcing intended use, organizations can prevent misuse, reduce risk, and strengthen compliance with ISO/IEC 42001.

At Kimova AI, we emphasize that controlling how AI is used is just as important as how it is built.


In tomorrow’s article by Kimova.AI, we’ll explore Annex A/B.10 – Third-Party and Customer Relationships, where we’ll explore how organizations can manage risks and responsibilities associated with external parties involved in AI systems to ensure security, compliance, and trust across the ecosystem.


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