At a glance
- Choose a bounded workflow.
- Define access and human review.
- Evaluate the system in its intended context.
Make the use case specific
Describe a task in terms of the person doing it, the information involved and the result they need. Distinguish finding information from recommending a decision or taking an action. Those activities can require different permissions and review arrangements.
Start with a boundary the team can explain and test. A focused task gives reviewers a clearer basis for deciding what evidence they need before allowing wider use.
Put responsibility around the system
Name the owners of the workflow and its data. Define which actions require a person to review or approve them, and how someone can challenge an output. Consider the failure path alongside the intended experience.
NIST’s AI Risk Management Framework organises risk work around Govern, Map, Measure and Manage. These are connected functions across the lifecycle, rather than a one-time sequence that makes a system trustworthy by completion alone.
Evaluate before expanding
Build a set of representative tasks and difficult examples from the intended use case. Agree what a useful response looks like, what would be unacceptable and who will review the evidence. Keep the evaluation separate from a polished demonstration.
Document what the team has learned, including limitations and unresolved questions. Expansion should be a deliberate decision based on the use context and available evidence, with monitoring and ownership continuing after release.
