Agentic AI Breaks Traditional SLOs, Threatening Production Reliability
Traditional SLOs track latency and error rates, but they can’t verify that an AI agent delivered the right business outcome. Because identical inputs now produce varied outputs, teams must add layers for inference reliability and behavioral correctness, treating decision points as the core observation unit and assigning separate error budgets.