NZS ISO/IEC 5338:2025
Information technology – Artificial intelligence – AI system life cycle processes
This standard is a foundational standard that defines a structured set of processes for managing AI systems throughout their life cycle. The standard’s emphasis on stakeholder engagement and system requirements definition supports New Zealand’s commitment to inclusive, transparent, and culturally grounded digital development.
These processes ensure that AI systems are designed with input from diverse communities and aligned with local values. For organisations, it provides practical tools for governance and quality assurance to help ensure AI systems are robust, traceable, and fit for purpose. These processes are particularly valuable for public sector agencies and businesses seeking to deploy AI responsibly while maintaining compliance with New Zealand laws like the Privacy Act. By embedding lifecycle processes that support auditability and ethical oversight, the standard also prepares organisations for future regulatory developments and enhances New Zealand’s ability to collaborate and trade internationally in the AI space.
This standard was considered for adoption by the P4830 Identical Adoption of Digital Standards Committee which included experts from government, industry, academia, and the private sector, all focused on the responsible use of emerging technologies.
This standard is identical to and has been reproduced from ISO/IEC 5338:2023, Information technology – Artificial intelligence – AI system life cycle processes.
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NZS ISO/IEC 5338 2025
Committee representation
Acknowledgement
Copyright
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Abbreviated terms
5 Key concepts
5.1 General
5.2 AI system concepts
5.3 AI system life cycle model
5.4 Process concepts
5.4.1 Criteria for processes
5.4.2 Description of processes
5.4.3 Conformance
6 AI System life cycle processes
6.1 Agreement processes
6.1.1 Acquisition process
6.1.2 Supply process
6.2 Organizational project-enabling processes
6.2.1 Life cycle model management process
6.2.2 Infrastructure management process
6.2.3 Portfolio management process
6.2.4 Human resource management process
6.2.5 Quality management process
6.2.6 Knowledge management process
6.3 Technical management processes
6.3.1 Project planning process
6.3.2 Project assessment and control process
6.3.3 Decision management process
6.3.4 Risk management process
6.3.5 Configuration management process
6.3.6 Information management process
6.3.7 Measurement process
6.3.8 Quality assurance process
6.4 Technical processes
6.4.1 Business or mission analysis process
6.4.2 Stakeholder needs and requirements definition process
6.4.3 System requirements definition process
6.4.4 System architecture definition process
6.4.5 Design definition process
6.4.6 System analysis process
6.4.7 Knowledge acquisition process
6.4.8 AI data engineering process
6.4.9 Implementation process
6.4.10 Integration process
6.4.11 Verification process
6.4.12 Transition process
6.4.13 Validation process
6.4.14 Continuous validation process
6.4.15 Operation process
6.4.16 Maintenance process
6.4.17 Disposal process
Annex A (informative) Observations based on use cases in ISO/IEC TR 24030
Bibliography
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NZS ISO/IEC 5338 2025
Committee representation
Acknowledgement
Copyright
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Abbreviated terms
5 Key concepts
5.1 General
5.2 AI system concepts
5.3 AI system life cycle model
5.4 Process concepts
5.4.1 Criteria for processes
5.4.2 Description of processes
5.4.3 Conformance
6 AI System life cycle processes
6.1 Agreement processes
6.1.1 Acquisition process
6.1.2 Supply process
6.2 Organizational project-enabling processes
6.2.1 Life cycle model management process
6.2.2 Infrastructure management process
6.2.3 Portfolio management process
6.2.4 Human resource management process
6.2.5 Quality management process
6.2.6 Knowledge management process
6.3 Technical management processes
6.3.1 Project planning process
6.3.2 Project assessment and control process
6.3.3 Decision management process
6.3.4 Risk management process
6.3.5 Configuration management process
6.3.6 Information management process
6.3.7 Measurement process
6.3.8 Quality assurance process
6.4 Technical processes
6.4.1 Business or mission analysis process
6.4.2 Stakeholder needs and requirements definition process
6.4.3 System requirements definition process
6.4.4 System architecture definition process
6.4.5 Design definition process
6.4.6 System analysis process
6.4.7 Knowledge acquisition process
6.4.8 AI data engineering process
6.4.9 Implementation process
6.4.10 Integration process
6.4.11 Verification process
6.4.12 Transition process
6.4.13 Validation process
6.4.14 Continuous validation process
6.4.15 Operation process
6.4.16 Maintenance process
6.4.17 Disposal process
Annex A (informative) Observations based on use cases in ISO/IEC TR 24030
Bibliography
NZS ISO/IEC 5338:2025
Online Library subscription information
Online library subscriptions provide a cost-effective solution for organisations of any size to access the latest standards, offering 24/7 access to a personalised catalogue. The service ensures subscribers have have the most up-to-date version of selected standards, incluing automatic updates for any amendments or versions. Pricing is dependent on the chosen standards and the number of concurrent users, with discounts applied from the standards PDF price. For customised subscriptions or further inquiries, contact the Online Library team.