Workflow fit
Is the chosen workflow repeated, structured, and important enough to justify being improved?
Pilot guide
A good pilot should not try to prove everything. It should prove whether one managed assistant in one missed-enquiry workflow is useful enough to keep, improve, or stop.
The point of the pilot
Small businesses often get sold AI pilots as if the goal is to showcase possibility. A better approach is simpler: use the pilot to answer whether one workflow improves enough to justify a broader service.
Four things to prove
Is the chosen workflow repeated, structured, and important enough to justify being improved?
Can the assistant operate inside clear answer rules and escalate uncertainty cleanly?
Does the handoff actually make life easier for the team rather than adding another layer to manage?
Is the improvement meaningful enough that the buyer would want to continue and pay for it?
What not to do
A pilot gets weaker when it includes too many channels, too many edge cases, or too many competing goals. That makes it harder to tell whether the workflow itself was strong or whether the scope simply became messy.
What to measure
Response speed, capture quality, handoff clarity, and progression to the next business step usually tell you more than a broad claim that the assistant 'worked well'.
Pilot FAQ
The main purpose is to decide whether one managed assistant in one missed-enquiry workflow creates enough real business value to keep, reshape, or stop before broader rollout.
No. A good pilot is narrow enough to judge honestly. The more workflows, channels, and exceptions included, the harder it becomes to tell what actually worked.
The most useful measures are response speed, handoff quality, workflow reliability, and whether the assistant improves the next meaningful business step.
That is still useful. The next decision may be to tighten the workflow, change the scope, pick a different starting problem, or stop. The pilot is successful if it makes that decision clearer.