What is the right series of AI system lifecycle?

The correct lifecycle sequence for an AI system as outlined in ISO/IEC 42001:2023 and supporting lifecycle methodologies (such as those influenced by ISO/IEC/IEEE 15288 and ISO/IEC TR 24028) is:

System Requirements & Specification Finalization

System Design & Development

System Verification & Validation

System Deployment

System Operation & Monitoring

This lifecycle ensures that all AI systems are planned, built, tested, and monitored effectively to address functional, ethical, and risk management objectives.

The standard encourages applying a structured lifecycle approach to ensure that AI systems meet organizational goals and stakeholder expectations throughout their operational period.