Why it matters
AI observability exposes retrieval, policy, citations, and outcomes in production. Without it, teams fly blind until social media tells them something broke.
How it works
Instrument apps with structured logs, metrics on citation rate, refusal rate, latency, and dashboards by intent. Alert on anomalies.
Example
Nintendo observability shows citation rate dropped on billing intents after a deploy, triggering rollback before ticket volume spiked.
Common mistakes
- 1Only logging final text
- 2No dashboards for support leaders
- 3Alerts without runbooks
Test the answer before your customer does.
Run answer tests and evaluations against your governed knowledge before you ship.
See answer evaluations