Are Your AI Agents Flying Blind? The Truth About AgentOps

AgentOps is the emerging discipline of managing AI agents in production, covering three layers: observability, evaluation, and optimization. Using a healthcare prior authorization workflow as a case study, the framework shows how to track metrics like end-to-end trace duration, agent-to-agent handoff latency, task completion rate, guardrail violation rate, and prompt token efficiency. The example demonstrates two agents reducing authorization time from 3-5 days to 2.8 hours at 47 cents per request, with 94.2% straight-through processing and 99.4% diagnosis code accuracy. Without this operational infrastructure, teams deploying agents in regulated industries risk hallucinations, data leaks, and runaway costs going undetected.