Automation & AI Articles

Confused robot surrounded by a question mark, representing AI operating without context in IT service desks

Beyond Intelligence: Why Context Is the Missing Piece in AI-Driven IT Service Desks

AI is transforming IT service desks, but not in the way many expect. The real limitation isn’t the intelligence of AI models, it’s the lack of usable context in most IT environments. Between CMDB accuracy, knowledge articles, service catalogs, and tacit expertise, AI is only as effective as the information it can access. Without strong context, even the most advanced AI just scales existing issues.
Illustrated humans and AI robots in a meeting representing agentic AI in ITSM collaboration

Agentic AI in ITSM Insights and Correlations

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.
Robotic hand pressing a large reset button representing the ITSM reset for AI service management

The ITSM Reset: Why AI Can’t Scale Without Strong Service Management Foundations

AI adoption in ITSM is nearly universal, but AI is only as effective as the processes, data, and governance behind it. Research shows a wide gap between AI use and the maturity of underlying ITSM practices. AI can automate and predict, but it can’t fix fragmented workflows, disconnected tools, or bad data. Strengthening ITSM foundations, an ITSM reset, may be the biggest step toward making AI work at scale.
Classical and futuristic figures illustrating the concept of AI agent governance in ITSM

Why AI Agent Governance Belongs in ITSM

As AI agents gain autonomy and become embedded in critical business processes, organizations face a growing governance challenge. Suganya Raju argues that established ITSM capabilities, including risk classification, service ownership, CMDB visibility, change management, and access governance, already provide most of the framework needed. The article covers how to extend what teams already run rather than reinventing.
Illustrated phoenix rising in flames, representing renewal and rebirth in the ITSM tool renewal cycle

ITSM Tool Renewal Guide: 7 Questions to Ask Before Renewing or Replacing Your Platform

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.
Illustrated aging robot in a business suit and sunglasses, representing operational maturity in AI-driven IT service management

Before You Automate: How Operational Maturity Determines AI Success in ITSM

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.
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.
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.
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.
CTO checklist for building AI-ready IT operations in 2026

The CTO Checklist for AI-Ready IT Operations in 2026

Every new tool promises to simplify IT operations and adds another layer of complexity instead. Rui Alves argues bolting AI onto disconnected systems just gives you automation without intelligence, and the CTOs getting real value in 2026 are doing the unglamorous work first: connecting service management, monitoring, assets, FinOps, and governance into a single operational layer.