AI can scaffold test structure and generate boilerplate, but writing meaningful test cases for fintech flows requires domain knowledge that AI does not inherently possess. Regulatory compliance checks, multi-party transactions, and reconciliation processes spanning multiple integrations all depend on business context the engineer must supply. AI in QA testing is most effective as a collaborator on well-defined tasks rather than as an autonomous author of logic involving regulatory or financial precision.