A different question
A pilot can show that an AI capability is possible. The next question is whether it can become part of a real person’s work. We approach that transition by looking beyond the model response and examining the whole task.
Follow the task, not just the output
An internal knowledge assistant must help employees verify source suitability, respect their access permissions and escalate incomplete answers. Those requirements belong in the workflow from the start.
Make dependencies visible
Before rollout, we map approved sources, access requirements, interfaces, review steps and support responsibilities. A missing permission or an unsupported integration is not a minor detail when it prevents the intended task from being completed.
Test more than the happy path
A useful evaluation includes the cases people hope will not occur: unavailable sources, incomplete inputs, conflicting information and tool failures. For each one, define what the system should do and what the user should see. Sometimes the correct response is a clear stop rather than a confident continuation.
Name the operational owner
Someone needs to own source updates, issue triage, quality reviews and decisions about changes. These responsibilities should be discussed before a wider rollout. A handover document is useful only when the responsibilities in it are understood and accepted.
Choose the next increment
The next step does not have to be a broad release. It might be one connected task for a defined group, with an agreed review period and acceptance criteria. The aim is to learn whether the capability works inside the environment / not simply whether more people can open it.
A practical closing question
Instead of asking only, “Does the demo work?”, ask: “Can the intended user complete this task on an ordinary working day, and does someone know what to do when it does not work?” That is a more useful foundation for the next delivery decision.