A broad AI idea should be narrowed to a defined workflow when the team can identify the context in which the output will be interpreted and can define, assess, and document human oversight. If those elements cannot yet be stated concretely, the idea remains too broad to support model or vendor selection.
How to check whether the workflow is defined
The NIST AI RMF says that AI system output is interpreted within its context and calls for human-oversight processes to be defined, assessed, and documented. Those points provide a practical framing check:
| Check | What the team must be able to state |
|---|---|
| Work step | The specific task the proposed AI output is intended to support |
| Mapped context | The conditions in which the output will be interpreted |
| Human oversight | The process through which people will oversee its use |
| Assessment | How the oversight process itself will be assessed |
| Documentation | What decisions, responsibilities, and results will be recorded |
Connecting these elements turns a general AI ambition into a bounded workflow that can be reviewed. It does not, by itself, establish that the workflow will be effective, safe, or approved.
What the team must still confirm
Those statements do not establish a universal deadline or threshold for narrowing an idea. Each team must still verify that the mapped context reflects real operating conditions, the oversight process can be performed by identifiable people, and the assessment method provides evidence the team can examine.
Any applicable legal, regulatory, contractual, or internal policy requirements must also be verified separately. This framing helps define the proposed workflow; it does not certify the workflow or guarantee a technical or business outcome.