Overview
Artificial Intelligence for IT Operations (AIOps) has moved beyond alert correlation into anomaly detection, incident triage, root-cause assistance, and increasingly agent-driven remediation.1 The practical CIO decision is how much operational authority AI should receive, and when.
Executive Decision: Pilot AIOps where it reduces investigation effort and improves incident response. Do not approve broad autonomous remediation until operational evidence, service criticality, economics, and controls justify the additional authority.
What Is Happening
Large language models (LLMs) and tool-using agents can summarize incidents, gather diagnostic evidence, propose root causes, and prepare remediation actions. Microsoft's RCACopilot, evaluated against a year's worth of Microsoft's own cloud incidents, achieved root-cause analysis (RCA) accuracy of up to 0.766.2 That is useful implementation evidence, but not a general enterprise benchmark.
The cautionary evidence also requires context. ITBench, a 2025 benchmark of real-world IT automation tasks, found that agents using the models evaluated at that …