Topic

Model Procurement

Model procurement refers to the process of acquiring, evaluating, and selecting AI models from external vendors or open-source repositories for enterprise deployment. This involves assessing model quality, licensing terms, security attributes, and compliance requirements before integration into organizational systems. For AI governance, robust model procurement practices ensure organizations maintain visibility into third-party model provenance, reduce risks from unvetted AI systems, and establish clear accountability for model performance and regulatory compliance throughout their operational lifecycle.

1 item

Corporate PolicyUS2026-02-05

GPT-4.5 Arrives as 'Research Preview,' Triggering Procurement and Risk Controls Before Any Production Use

OpenAI released GPT-4.5 under a research preview designation, describing it as its largest and most capable chat model to date, in notes published to the OpenAI Help Center. The research preview status signals that the model has not yet reached a full general availability release, which carries direct implications for how enterprises may procure, test, and deploy it. Organizations that treat preview models as production-ready without appropriate governance controls risk accepting undefined risk profiles that fall outside standard AI risk management processes.

OpenAI GPT-4.5 model procurement risk management enterprise governance vendor risk transparency model evaluation United States