THE GIST
Choose a task small enough to inspect and important enough to learn from.
A perspective from Lognetics Editorial · 2 min readStart with an observable workflow
A first pilot should begin with work the team can describe today. How is it done, who does it and where does it become difficult? A clear current process makes it easier to evaluate whether an AI-assisted alternative is helping.
A hypothetical starting point could be drafting internal summaries for human review. The task has a recognisable input and output, and someone can compare the draft with the source material before deciding whether to use it.
Agree on what success means
Define the qualities that matter before reviewing results. Does the output include the important facts? Does it invent details? Is the format useful? How much correction does a person need to do? These questions are more informative than whether the answer sounds polished.
Choose examples that include ordinary work and difficult cases. Record why an output is useful or unsuitable, so the team can learn from patterns rather than arguing over a few memorable demonstrations.
Decide what comes after the trial
A pilot should have a decision point. The team might continue, narrow the use case, improve the source information or stop. Identify who owns that decision and which unresolved questions would prevent a wider rollout.
At Lognetics, we see a pilot as a learning instrument. It should make uncertainty easier to discuss and produce evidence for a next step. A small, well-understood result can be more valuable than an ambitious demonstration that no one knows how to assess.
