A limited-scope trial of an AI system in a controlled environment to assess performance, risks, and governance controls before full-scale deployment.
A pre-launch phase where the AI is run on a small subset of real users, datasets, or workflows, under close supervision. Pilot testing validates technical performance (accuracy, reliability), governance measures (logging, escalation), and user experience. Results inform adjustments - threshold tuning, process refinements, additional guardrails - before expanding to production. Pilot outcomes are documented in pilot-completion reports required for governance approval.
A logistics company pilots its delivery-route optimization AI on a single city’s fleet of 20 trucks. During the two-week pilot, they monitor fuel savings, on-time delivery rates, and incident logs. Governance teams review the pilot report - confirming no safety incidents or policy breaches - before approving nationwide rollout.
