The part that matters most here is the human-approval gate for financial or sensitive decisions. Self-correction sounds good in theory, but in a real operation an agent quietly fixing its own mistake is exactly how a small error becomes a costly one. The honest metric in your evaluation list is how often a person still has to intervene — if that number is not falling, the system is not really learning. Start with one narrow workflow, not a full platform, and let the feedback loop prove itself there first.