Why it matters for your business
When an AI system gives a bad answer or an automation silently stops, the first question is what happened, and without observability nobody can say. Good tracing turns a customer complaint into a specific run you can inspect and fix. Aggregated metrics show cost creep, rising error rates or a drop in quality after a model update. Observability data often contains customer information, so decide what to store, how long to keep it and who can see it. Ask any vendor how you will see failures before your customers report them.
Example
A support agent's escalation rate jumps one week. Traces show its order lookup tool started returning errors after the ecommerce platform renamed a field, so the agent escalated every order question. An alert on tool error rates now notifies the team within minutes, and a dashboard tracks escalations, cost per conversation and latency by day.