Choose a task before a tool
AI is easier to evaluate when the task is specific. Examples include helping staff find an internal document, preparing a draft response, or classifying a request for review. The starting point is the intended user, the information involved, and the limits of the task.
Design the controls alongside the experience
An AI workflow needs defined access permissions, clear escalation paths, and a suitable role for human review. Outputs should be evaluated against representative examples before an organization relies on them in daily work.
- Use-case discovery and scoping
- Knowledge and application integration
- Evaluation criteria and test examples
- Human review and operational monitoring
Start with a bounded pilot
A pilot should make the learning goal clear: what would justify proceeding, what would require a change, and what should stop the experiment. We can discuss a focused approach built around your team’s requirements.
