A lot of operations work does not need a long AI reply. It needs a bounded decision: classify this request, route it to the right queue, or accept the next step and move on.
That is where OpenAI’s Decisions API is worth separating from general chat-style tooling. OpenAI says it is generally available, accessed through POST /v1/decisions, supports gpt-6-luna, and returns typed answers from text, images, and JSON. It is also positioned as up to 10x faster than the Responses API for these smaller decision tasks.
The workplace consequence is easy to miss: when the system only has to choose among known options, you usually get less latency, less prompt complexity, and a cleaner review path. A typed answer is easier to validate than an open-ended paragraph, which matters when a person or another system has to trust the result.
There is also a cost and governance angle. Shared input can be cached, which can reduce repeated work when the same context appears across requests. And because the output is structured, the workflow can fail closed instead of improvising when the model is uncertain or the input is outside the allowed shape.
So the decision rule is not “use AI wherever possible.” It is: use a Decisions-style pattern when the business question has a small answer space and the next step depends on a reliable, typed result. Save broader generative workflows for cases that really need explanation, drafting, or synthesis.