ITSM Articles

Illustrated IT support agent at a computer with headset, representing AI-driven service desk operations in a ticketless enterprise

The Ticketless Enterprise: How AI Agents Prevent Work Instead of Processing It

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.
ServiceTeam ITSM Enterprise 3.0

Provance ServiceTeam ITSM Enterprise 3.0

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.
Illustrated monitoring device with dials and signal lines representing third-party risk detection and trusted runtime truth in IT operations

Agentic IT and Third-Party Risk: Why Trusted Runtime Truth Matters

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.
Illustrated figure measuring with a large ruler, representing flow metric measurement in IT service management rather than just SLA use

SLA Compliance is Misleading: How to Measure True IT Service Health

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.
Bold pop-art illustration of three geometric figures in shutter shades, representing agentic AI concepts in ITSM

The State of Agentic AI in ITSM 2026: Adoption Trends, Benefits, and Challenges

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.
Illustrated header showing Lynda Cooper and Roman Zhuravlev as stylized figures seated on large colorful 3D letters representing ISO 20000

How ISO 20000 Has Stayed Useful for Twenty Years

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.
AI agent deployment failure concept illustration showing a man standing beside a crashed car reading a billboard that says "It's not the car. It's the driver!" with the ITSM.tools logo

Why One in Four Enterprise AI Agent Deployments Aren’t Paying Back

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.
Self-healing ITSM concept illustration showing a large AI robot working at a computer while a manager sleeps in a chair beside the desk

Self-Healing ITSM: Are We Entering the Era of Autonomous Service Management?

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.
Colorful illustration of an overloaded office team, with workers slumped at desks and others buried in tasks, depicting ERP capacity strain

Why Co-Managed IT Is Replacing Staff Augmentation for ERP Support Teams

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.
Illustrated woman at a desk with a laptop and stack of books, surrounded by swirling colourful shapes representing ideas and creativity

Blogging Tips for ITSM Professionals (Plus How to Use AI Effectively)

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.
Colored padlocks representing Security Stories used to design secure services in ITIL (Version 5)

Designing Security into the Product & Service Lifecycle with Security Stories (ITIL (Version 5) & Agile)

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.
Unified endpoint management shifting IT operations from reactive to proactive

From Reactive ITSM to Proactive IT Operations: The Role of Unified Endpoint Management (UEM)

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.
Agentic AI in ITSM removing human judgment and increasing operational risk

Agentic AI in ITSM: Why Removing Human Judgment Increases Risk

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.
SITS26 Recap: Key ITSM, AI, and Service Management Insights

SITS26 Recap: Key ITSM, AI, and Service Management Insights from London    

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.
Why service management keeps outliving its ITSM is dead obituaries

ITSM is Dead? Why Service Management Keeps Outliving Its Obituaries

Somebody announces the death of service management every few years, and they’ve been doing it for 35 years now. Barclay Rae has heard every version and thinks they all miss the same thing: the job at the heart of service management is human, not technological. That’s why no new wave of tech has managed to kill it, and AI has made the case for it stronger.