AI assistance adds value when it sits inside an existing reviewed workflow and removes repetitive setup work — triage, classification, drafting, summarisation — while a human still owns the final decision. It adds risk when the workflow has no structure, no clear definition of a correct outcome, or no human review surface, because in those cases AI amplifies ambiguity rather than removing it.
Frequently asked questions
When is AI a poor fit for a workflow?
AI is a poor fit when the workflow has no existing structure, no clear definition of a correct outcome, or no human review surface. In those cases AI amplifies ambiguity rather than removing it.
Do AI suggestions need to be auditable?
Yes. Every consequential AI suggestion should be captured alongside the human decision that accepted, edited, or rejected it. Without that record, the workflow cannot be defended after the fact.
Where does AI deliver the highest leverage with the lowest risk?
Triage, classification, drafting, and summarisation inside an existing reviewed workflow — tasks where a human still owns the final decision but the AI removes the repetitive setup work.