Begin with the business question
A practical method for testing AI-assisted work against approved sources, ordinary cases, edge cases, and human review before expanding use.
The useful starting point is the difference between one persuasive demo and a repeatable, reviewable working method. Treat that question as a decision to support, not as a reason to add another isolated page, tool, or workflow.
Make the mechanism visible
AFRIPA’s source-governed approach is to show a small set of representative cases, acceptance rules, source comparisons, and correction records. This gives a reader something practical to inspect and gives a team a clearer way to review what changes next.
A mechanism is not a performance promise. It describes how information, a task, a review step, and a handoff can be connected so the work remains legible to the people responsible for it.
Choose the next useful move
A practical next move is to collect four representative cases: ordinary, incomplete, ambiguous, and escalation-required. Keep the observation, the source, and the owner visible before adding scale or complexity.
The guide is educational. It can help frame a responsible starting point, but it does not replace the contextual judgment needed for a specific business, technical, legal, or operational decision.