Invisible automation creates new risk
Many AI workflows start as clever shortcuts. They become business infrastructure only when they expose state, decision points, and failure modes.
A workflow that drafts, routes, enriches, or replies on behalf of a team should make its current state clear before it asks for trust.
Human approval is a design feature
Approval steps are not evidence that automation failed. They are often the mechanism that lets automation handle more sensitive work.
The right question is not whether a human is involved. The right question is whether the human is reviewing the highest-value decision instead of repeating mechanical context work.
Fallbacks keep the system honest
Every practical automation needs a route for missing data, uncertain classification, low confidence, and external tool failure.
When fallbacks are designed upfront, the system can slow down gracefully instead of producing quiet operational debt.