- Published on August 12, 2025
- In AI Features
How Agentic AI Is Rewiring IT Ops from the Inside Out
Self-managing systems that detect, diagnose, and resolve issues in real time are no longer pipe dreams.
Image by Nalini Nirad
- By Ankush Das
As agentic AI gains ground, a quiet shift is underway; operations are moving from reactive alert-chasing to proactive, outcome-driven intelligence.
Self-managing systems that detect, diagnose, and resolve issues in real time are no longer pipe dreams. Krishna Sai, CTO of SolarWinds, called it a transformation from “alert fatigue” to “autonomous resilience” in a conversation with AIM.
And at the heart of it all is observability.
Reliable Service, Reduced Risk
Agentic AI, by nature, isn’t content waiting for instructions. It detects anomalies, triggers remediation, and adjusts performance dynamically — freeing up IT teams from the grind of dashboards and escalations.
“This evolution helps organisations ensure service reliability, reduce operational risk, an
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Ankush Das
I am a tech aficionado and a computer science graduate with a keen interest in AI, Coding, Open Source, Global SaaS, and Cloud. Have a tip? Reach out to ankush.das@aimmediahouse.com
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