ITSM Articles

Too many ITSM tool renewals get treated as procurement exercises when they should be strategic decisions. Manish Sharma lays out a 90–180 day framework for evaluating your current platform, assessing alternatives, and building stakeholder alignment before contract renewal. The guide also covers the seven questions every IT leader should answer to decide whether to renew, expand, or replace their tool.
AI doesn’t fix broken processes, it scales them. Matt Beran argues that while ITSM teams focus on automation and autonomous service desks, the real determinant of AI success is operational maturity. The article covers why knowledge quality, workflow consistency, governance, and data hygiene are the foundations of AI that keeps working after go-live rather than failing quietly, and where teams tend to underinvest first.
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.
Strategic roadmaps are filling up with AI agents, command towers, and intelligent automation. Salil Karkarni argues that both agentic IT and third-party risk programs share a hidden constraint that rarely makes it into keynotes: neither can succeed without a trusted, runtime view of what exists, how it is connected, and which services it supports. The article looks at why that gap keeps derailing both.
SLA metrics capture resolution and response times against fixed targets. They’re aggregate, they’re historical, and they tell you nothing about internal flow quality. A team can optimize for the clock while the way they get there, through escalation ping-pong, midnight heroics, and workarounds instead of fixes, degrades the system underneath. Yuri Kudyn on what to measure instead if you care about true service health.
Nearly three-quarters of organizations are already using their ITSM tools’ AI capabilities, and 94% of those able to rate the results report efficiency improvements. Agentic AI adoption is still early though, held back by data quality, governance, and skills gaps. This article shares six findings from the State of Agentic AI in ITSM 2026 survey, with links to the full report and webinar.
Lynda Cooper has edited ISO 20000 for more than a decade. Her explanation for why the standard has stayed useful for twenty years is also her clearest answer to the question people keep getting wrong about it: standards tell you what to do, not how to do it. The how is what frameworks like ITIL are for, and this article walks through where each one fits.
A quarter of UK enterprise AI agent deployments aren’t paying back, and new research from KTSL and BMC Helix shows the reasons have almost nothing to do with the technology. This article looks at what’s going wrong inside deployments, why model choice matters less than most vendors suggest, and what enterprises would need to change to close the return gap.
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.
Staff augmentation has been the default answer to ERP capacity problems for decades. The problem is that it isn’t solving the actual issue. Adding bodies adds hours. It doesn’t change how work flows, who owns outcomes, or whether your internal team ever gets off the reactive treadmill. This article explains why and what to do about it.
Free AI tools make writing easier and quicker, so it’s a good moment to share blogging tips for the people who know ITSM best but haven’t been writing about it. The alternative is content produced by people who don’t know the subject but are happy to use AI to fake it anyway. This article covers what still needs a human, and where the AI tools can carry some of the load.
Most teams still bolt security on at the end, then act surprised when the audit goes badly. Alex Harding makes the case for Security Stories, negative “what if” scenarios written from the attacker’s viewpoint and dropped straight into the backlog, so security gets designed in rather than retrofitted. A practical look at how the technique maps onto ITIL (Version 5) and where it fits into the design stage.
More investment, more automation, more AI, and yet ticket volumes refuse to fall. Akshaya argues the reason is that none of it touches the layer where most tickets start: the endpoint. This article looks at how unified endpoint management shifts IT from cleaning up failures to preventing them, and why the organizations doing it run their service desks at a fraction of what their peers spend.
Mathies Wähner on why Agentic AI fails in ITSM. Drop it into an operating model that isn’t ready and it doesn’t make you smarter, just faster at being wrong, while quietly removing the people who used to catch the mistakes. The real question isn’t how to implement Agentic AI, but whether your operating model can survive it once it’s running at scale.