A demonstration can show that something is possible. It cannot, by itself, show that the result is worth operating.
The demonstration usually has a known input, an available expert, and a forgiving audience. A working business process has missing information, interruptions, and people who need to trust the next step. Evaluation needs to follow the whole job.
Establish what happens now
Before the pilot, record how a representative set of tasks is completed. Include the time spent finding information, reviewing outputs, correcting mistakes, and waiting for approvals. Distinguish active work from elapsed time: a task can require little effort while sitting in a queue for days.
Avoid reducing the baseline to a single average if the cases vary widely. A simple inquiry and a complex request should not be treated as interchangeable units just because both arrive through the same form.
Test the complete alternative
Run comparable work through the proposed process. Count review and correction as part of the new workflow. Record failed or abandoned attempts rather than reporting only the tasks that finished successfully.
Use separate measures for quality and effort. A faster summary that omits an important constraint is not the same result delivered more efficiently. Likewise, a slower initial review might be worthwhile if it prevents a costly downstream misunderstanding. The team needs to decide which tradeoffs it accepts.
A lightweight scorecard might track completeness, factual errors, reviewer effort, unresolved exceptions, and total operating cost. The categories matter more than a sophisticated dashboard.
Set the decision before seeing the result
Agree what would justify expanding, revising, or stopping the pilot. Keep a manual path available during testing. A pilot that reveals the wrong problem is not wasted if the team uses that finding to change direction.
NIST describes its AI Risk Management Framework as voluntary guidance for incorporating trustworthiness into design, use and evaluation. That is useful context, not a certification for a particular pilot. Source: NIST
The strongest result is not “the system produced an answer.” It is “we understand where this process helps, where it fails, and what it costs to operate responsibly.”