how are enterprise teams handling ai output traceability for compliance audits… log files or something more??

i keep seeingg compliance mentioned as a requirement and nobody really explains what traceable actually means in practice when the auditor asks you to prove what your ai system did and why . what do you actually show them. a log file. a dasboard ss. a prompt version number. what level of detail is actually enough spent quite a bit of time looking at wht tools even cover this properly. arize,, orqai,, langsmith ,, whylabs,, datadog llm observability langsmith -> tracing is good, you can see what happened in a run but audit trail depth fro regulatory purposes seems limited tho orqai -> audit log