Observability for AI Workflows: The KPI Stack
Dec 15, 2023 • 8 min read
AI operations need more than uptime charts. You need a full KPI stack that covers quality, reliability, and economics.
Quality KPIs
- Task success rate by workflow
- Human override rate
- Policy violation incidence
Reliability KPIs
- P95 latency and queue backlog
- Retry and fallback frequency
- Dependency timeout distribution
Cost KPIs
- Cost per successful task
- Token spend by model and use case
- Monthly savings versus baseline operations