An AI pilot is a bounded experiment to resolve a material uncertainty before a larger operating commitment. Specify the workflow, representative cases, accountable owner, evaluation criteria and stopping conditions. Judge the result alongside review effort, failures and full costs. A successful demonstration supports a decision; it does not establish production reliability, adoption or value at a different scale.
A useful pilot answers a question that matters to the business: whether an intervention is feasible, safe, useful or economically credible. A negative result can be valuable when it prevents a larger commitment.
The leader's task is to make the question, owner, evaluation and next decision explicit. Before expansion, the organisation must also agree integration, controls, adoption, support and the work that will change.
For companies assessing an AI transformation leadership appointment: review the public operating case, the proposed mandate and the responsibilities your enterprise needs.
An AI pilot is a bounded experiment to resolve a material uncertainty before a larger operating commitment. Specify the workflow, representative cases, accountable owner, evaluation criteria and stopping conditions. Judge the result alongside review effort, failures and full costs. A successful demonstration supports a decision; it does not establish production reliability, adoption or value at a different scale.
Pick one pilot and write its unanswered question, evaluation evidence, owner and next decision date. Compare the results with the workflow baseline and explicitly choose continue, change or stop before adding users, permissions or volume.