Audit logs missing

Missing audit logs create a serious gap because nobody can fully reconstruct what the system did after the fact. That makes debugging, compliance, and incident review much harder than it needs to be.

In AI products, auditability matters even more because outputs are often generated dynamically and may depend on prompts, context, or external tools. Without logs, the team is left guessing when something goes wrong.

Good logging does not need to record everything forever, but it should capture enough to explain major decisions. That visibility pays off quickly when users, managers, or regulators ask hard questions.