Model updates create a new regression-testing burden

Changing AI models inside validated workflows can alter outputs without conventional code changes, turning model upgrades into an ongoing test-maintenance problem. Version pinning, explicit acceptance criteria, item-level diffs, rollback triggers, and repeatable CI checks are emerging as practical controls for preventing silent behavioral regressions.