An AI engineering maturity model outlines five stages for software teams progressing from ad hoc AI-assisted coding to multi-agent orchestration with governance. Unlike most enterprise frameworks, this model targets engineering teams specifically and connects AI adoption to delivery metrics and review throughput. Only Gigacore AI-MM SET among existing frameworks addresses the engineering-specific gap, where individual developer speed often fails to translate into organizational throughput improvements.