The Olympics demonstrate that success depends on teamwork, preparation, governance, and seamless coordination – not individual talent alone. Discover how these same principles help IT organizations deploy Agentic AI successfully through better context sharing, AI governance, continuous validation, and clearly defined AI responsibilities.
The 2026 HCLSoftware-sponsored ITSM.tools survey looks at how Agentic AI is being adopted across service management. This article breaks down the adoption trends, governance priorities, and regional differences the survey found, plus how AI maturity correlates with trust, business value, and organizational outcomes. It’s a snapshot of where Agentic AI is currently delivering in ITSM, and where it still isn’t.
The best support tickets are the ones never submitted. Shankar Gomathi argues that with AI agents in the mix, a ticketless enterprise is closer than most support teams think, letting IT operations become more effective and less expensive. The article covers what a ticketless model looks like, which categories of ticket disappear first, and what has to be true internally to reach that state.
Provance ServiceTeam ITSM Enterprise 3.0 is a Microsoft-native service management platform built on Microsoft Power Platform, combining ITIL-aligned capabilities with low-code flexibility, workflow automation, and integration across Microsoft 365, Azure, Power BI, and Power Automate. This solution snapshot covers where the platform fits, who it’s built for, and how it compares against traditional ITSM tools.
AI agents are automating not just operational IT tasks but parts of ITSM platform implementation, configuration, and maintenance. Richard Mendis argues this shift is underway, and that as it matures, organizations should expect lower costs, less manual intervention, and systems that manage themselves. A look at where self-healing ITSM is credible today, and where vendor claims still outrun reality.
Read any ITSM platform brochure today and the same cluster of AI terms stares back: agentic AI, AI agents, RAG, AIOps, MCP. The vocabulary is moving faster than most IT teams can keep up with. Raghav S of ManageEngine explains what each one means in an ITSM context, how they differ, and how to tell which capability fits a problem you have.
Everyone is selling agentic AI, but the gap between the weakest and strongest versions is enormous. Manish Sharma of Rezolve.ai sets out a four-stage maturity model for AI in ITSM, from legacy retrieval through reactive assistants and process agents to true agentic systems that reason, act across connected systems, and catch problems nobody asked. He also gives you the questions to put to any vendor claiming agentic AI.
AI is already here. The level of AI inclusion in ITSM tools and platforms is remarkable when you look at it closely. The question isn’t whether to engage with AI, it’s whether your organization has the right foundations to make it work. Trust, governance, and a clear reason for adopting it in the first place separate the organizations getting results from those that aren’t.
AI help desks powered by LLMs and AI agents are being rolled out to automate IT support, reduce Tier 1 tickets, cut operational costs, and scale support operations without adding headcount. Jeff Hume looks at where these systems are already delivering, what the current limitations look like, and how to think about them if you’re evaluating options for your own service desk.
It’s the small issues that eat away at your team’s capacity: password resets, access tweaks, profile changes, and “just a quick question” tickets that never make a headline but never stop arriving either. Lauren Okruch explains why the compounded impact of these papercuts is a real business continuity risk, and how ITSM automation delivers more upside on this class of work than the flashier use cases.
No matter where an employee is, they expect consumer-grade speed and simplicity. However, their issues are increasingly intertwined with complex networks of devices, SaaS applications, VPNs, and networks that you may not fully control. In this article, discover how context-aware remote support closes the IT resolution gap, reduces MTTR, improves security, and transforms ITSM for hybrid work.
What do you need help with next year? Take our quick 2026 ITSM Topics poll to help shape the articles, guides, and practical content ITSM.tools puts out. The aggregated results also give us an early read on the hottest trends in ITSM right now, and where the industry conversation is heading in 2026.
Knowledge has always been the backbone of ITSM excellence. However, even with immense effort invested in documenting, classifying, and organizing knowledge articles, most knowledge systems still fall short of meeting expectations. This article explains how AI helps.
Diving into analyst reports is an efficient way for organizations to learn what top vendors are offering, what users are experiencing, and what trends are emerging from an unbiased source. This article looks at the opportunity of analyst reports including The Forrester Wave™: Enterprise Service Management Platforms, Q4 2025 report.
Read how AI can make a lasting impact in IT change management. ITSM practitioners can begin moving away from a risk-prone, manual IT change management (or change enablement) process toward a highly controlled, predictive, and agentic ITSM framework.