Agentic AIOps is the shift from AI that tells you what is wrong to AI that safely fixes it.
Agentic AIOps is AIOps in which autonomous AI agents do more than detect and alert: they investigate an incident, decide on a course of action, and execute it, within governance and guardrails, closing the loop from signal to resolution.
Classic AIOps applies machine learning to detect anomalies and correlate alerts, then hands off to a human. Agentic AIOps adds autonomous agents that carry the incident further: they gather context, reason about cause, choose a remediation, and act, so the loop from observe to resolve can complete without a person in the middle for well-understood cases.
Autonomous action is only acceptable if it is safe, so agentic AIOps depends on governance: scoped permissions, approval gates for risky actions, full audit trails, and reversibility. The value is not autonomy for its own sake but governed autonomy, action fast enough to matter, controlled enough to trust.
Agentic AIOps is exactly what Ops Singularity delivers: Sentinel AI observes, investigates, acts and optimises through governed, reversible Action Tickets, with ProcBot executing and Sherlock validating.
Traditional AIOps detects and correlates then alerts a human; agentic AIOps adds autonomous agents that investigate, decide and act within governance.
It is designed to be, through governance: scoped permissions, approval gates, audit trails and reversible actions, so autonomy is bounded and trustworthy.
Ops Singularity turns open telemetry into autonomous, governed resolution. See it on your own stack.