Layer 02 of 06
Observability
What did the AI do?
A complete, reviewable record of every decision, action, and output the AI produced.
Why this layer matters
A regulator, an auditor, or an unhappy client will eventually ask what the AI did on a specific day at a specific time. The only acceptable answer is a full log, in context, with the prompt, the decision, and the result.
Observability is how you move from trust-the-vendor to verify-for-yourself.
What good looks like
- Every AI action logged with timestamp, input, decision, and outcome
- Logs that are queryable, not just archived
- Redaction rules for sensitive content in log storage
- Retention policies aligned to industry requirements
- Review workflows so a human actually reads what the AI did
What a gap looks like
How it connects
Observability is the evidence that guardrails held and workflows ran as designed. It is also the raw material for tuning the system: patterns in logs drive the next round of guardrail and workflow refinement.