CAYou have been asked to lead deployment planning for an AI workflow in a regulated environment where mistakes can create legal, operational, and reputational risk. The team wants to use OpenAI models through the API to support a high-value internal process, but stakeholders disagree on how much automation is acceptable, what evidence is needed before launch, and how to handle cases where the model is uncertain or produces unsupported output.
What are the key considerations when deploying AI models in regulated environments?
