How Agentic AI Is Rewiring IT Ops from the Inside Out
Analytics India Magazine (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, and align IT efforts with business outcomes,” said Sai. SolarWinds is leaning into this shift with a suite of integrated features.
“SolarWinds plays a pivotal role in this transformation by offering integrated AI-driven observability solutions designed to unify diverse telemetry and provide contextual, actionable insights,” said Sai.
He added, “SolarWinds Observability integrates AIOps, alert correlation, and context-aware automation to enable this shift. Features like AI-powered log insights and Root Cause Assist proactively identify patterns, predict issues, and trigger automated workflows.”
Sai said that these capabilities reduce MTTD and MTTR, enabling teams to focus on strategic goals instead of manually resolving issues.
That’s not the only way the company is pushing AI deeper into the stack. “Ongoing investment in channel partner enablement, through programs like the Transform Partner Program, ensures that customers benefit from localised expertise and scalable deployment options,” he added.
Governance, Skills, and AI
Autonomy doesn’t mean letting go of the wheel. Sai said, “To harness the benefits of agentic AI without compromising on compliance or trust, a strong foundation of governance is required.”
He stressed that continuous oversight of AI deployments is crucial for enterprises. Human oversight, regular compliance audits, and robust feedback mechanisms are essential to guarantee AI agents operate within established ethical guidelines and industry regulations. Ethical deployment, Sai said, must be foundational, not an afterthought.
And while AI picks up the operational slack, it’s human skills that are rising in value.
“Traits like adaptability, effective communication, and interpersonal acumen are crucial for navigating the complexities of modern IT environments,” said Sai.
He added that building trust, managing diverse teams, and fostering strong working relationships are inherently human strengths that AI cannot replicate. Furthermore, adaptability allows professionals to remain agile amidst rapid technological change, and clear communication is crucial for ensuring team alignment, promoting transparency, reducing friction, and boosting overall efficiency.
Agentic AI hasn’t gone fully mainstream yet. But the momentum is building. The approach to it differs between big IT firms and mid-size companies.
Speaking to AIM about building AI agents, Nachiket Deshpande, COO at LTIMindtree, said Indian IT firms often do not want to build these capabilities in-house.
Collaboration to Counter Costs
Talking about their deal with Voicing AI, Deshpande said they would want to leverage varied startups in order to utilise new technologies these firms work on. The main reason behind choosing to not build models in-house, Deshpande said, is the high expense on generative AI. To him, it doesn’t make sense to invest so much to experiment with genAI.
The level and speed of innovation will ensure that technology will repetitively become obsolete every few months and demand a lot of capital, said Deshpande.
“Agentic AI is generating significant buzz, though its adoption remains in early stages. Nearly 57% IT leaders have introduced AI agents to their operations within the last two years, and over 96% of enterprises are planning to expand the use of AI agents,” said Sai.
The challenge isn’t interest, it’s infrastructure. “Many organisations are still developing the essential data infrastructure and governance frameworks needed to support autonomous decision-making, but it is key on the road to operational resilience,” he added.
From firefighting incidents to orchestrating outcomes, IT operations may be on the brink of their most intelligent decade yet. And this time, the alerts won’t be screaming; they’ll be solved before anyone even notices.
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