[White paper] Agentic AI in ITOps: Closing the gap between alerts and action

[White paper] Agentic AI in ITOps: Closing the gap between alerts and action



AI is rapidly becoming central to modern IT operations. While AI has improved how teams detect, analyze, and prioritize incidents, turning those insights into action still requires significant manual effort. For most teams, closing the gap between alerts and action remains a major operational challenge.

This challenge is only intensifying as IT environments grow more complex. Hybrid infrastructures, cloud-native applications, distributed systems, and ephemeral workloads make incidents harder to investigate, while fragmented tools, manual workflows, and cross-functional coordination continue to delay resolution efforts.

As a result, IT teams are looking beyond AI that merely surfaces insights and toward systems that can actively assist with operational execution. This shift is driving the emergence of agentic AI in ITOps.

What sets agentic AI apart  

Traditional AI in ITOps typically focuses on surfacing anomalies, correlating events, or generating recommendations. It helps teams understand what might be wrong, but human operators still need to investigate, decide, and act.

Agentic AI goes a step further. It can reason through incidents, plan next steps, and execute tasks within defined guardrails. In practice, that means AI agents can investigate alerts, correlate signals across tools, identify likely root causes, preserve operational context, and assist with remediation—helping teams move from alerts to action much faster.

Build your roadmap to agentic ITOps  

But where should organizations begin? Which use cases deliver the most value? And how can teams adopt agentic AI safely without sacrificing control?

Our latest white paper, Agentic AI in ITOps, answers these questions with a practical roadmap for adoption.

Inside, you'll discover:

  • The five levels of ITOps autonomy

  • Five high-impact use cases for agentic AI

  • The controls required for safe autonomy

  • A crawl-walk-run implementation framework

  • An ROI model for measuring business value

  • How to build an AI-ready observability foundation

Whether you're evaluating agentic AI or planning your journey toward autonomous IT operations, this white paper provides the strategies and frameworks to help you get started.

Download the white paper and start building your roadmap to agentic ITOps.