A good AI pilot is small enough to review and useful enough to teach the team something about the process.
Choose one recurring task
Pick work with stable inputs, reviewable outputs and a clear human owner. Do not start with autonomous publishing or sensitive decisions.
Write the acceptance criteria
Describe what a useful output contains, what sources are allowed and which errors require rejection.
Keep a human checkpoint
Review real examples, including difficult cases. Track correction effort rather than only generation speed.
Document the operating model
Record prompts, context, examples, ownership, escalation and the date when the pilot will be reassessed.
Sources & further reading
This framework is Samsina’s practical interpretation. The following primary sources provide useful platform or governance context.
NIST AI Risk Management FrameworkPublic guidance for identifying and managing AI risk.↗Author: Sina Dadmehr, founder of Samsina and specialist in performance marketing and demand generation. Reviewed 10 August 2026.
