Articles tagged with Artificial Intelligence

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?

Richard Mendis June 3, 2026

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.

Unified endpoint management shifting IT operations from reactive to proactive

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

Akshaya May 27, 2026

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 May 26, 2026

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    

Vawns Murphy May 22, 2026

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

Sophie Danby May 21, 2026

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

Rui Alves May 20, 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.

AI, Transformation, and What Comes First

AI, Transformation, and What Comes First

Sophie Danby May 14, 2026

Every few years, the IT industry settles on a new savior. Agile. Then DevOps. Now AI. Kaimar Karu argues organizations adopt each one without first knowing what they want from it, then act surprised when results don’t live up to the hype. In this episode of Roman Jouravlev’s Conversations with Giants series, Kaimar covers why AI should never be the goal in itself and the skills technology won’t replace.

AI Terms in ITSM

5 AI Terms Every ITSM Practitioner Should Know in 2026

Raghav S May 8, 2026

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.

Are You Delivering Value?

Are You Doing Service Management, or Delivering Value?

Sophie Danby May 6, 2026

Value is what the customer decides it is, not what the IT department or a framework says. It’s the test Stuart Rance has applied across a thirty-year career: would anyone on the receiving end say your work created value for them? In episode three of Conversations with Giants he explains why he hates tool replacement projects, and why using agentic AI to cut headcount is the wrong use of the technology.

ITSM Operating Model Blocking AI Adoption

Your ITSM Operating Model Is Blocking AI Adoption

John Mathieu May 5, 2026

If AI is the strategic priority, why are the teams meant to implement it still buried in ticket queues? John Mathieu of Allari argues the blocker isn’t culture, skills, or tooling but the operating model itself: reactive work and AI projects compete for the same people, and reactive always wins. His fix is bifurcated execution, separating the two into distinct streams with protected capacity.

Shadow AI in IT Support

Shadow AI in IT Support: When Employees Fix Problems Outside the Service Desk

Judin Joan Soundarya S April 24, 2026

It’s 9am and a sales manager hits a VPN error before a client call. Rather than wait on a service desk ticket, she pastes the error into an AI tool and gets a fix in seconds. Problem solved, but no incident recorded. Judin Joan Soundarya S of ManageEngine looks at what shadow AI costs problem management and security operations, and how ITSM platforms can regain visibility.

Agentic ITSM

Agentic ITSM: Understanding the 4 Levels of AI Maturity in IT Service Management

Manish Sharma April 22, 2026

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.

Value, Silos, and Why You Need to Think Before You Build

Value, Silos, and Why You Need to Think Before You Build

Sophie Danby April 14, 2026

The mismatch between producer effort and user value is something Mark Smalley, IT Paradigmologist and author of nine books on digital and service management, has been thinking about for decades. In this article on the first episode of Roman Jouravlev’s Conversations with Giants series, Mark covers several ideas that have held up across four decades in ITSM.

AI Readiness: Is Your Organization Ready for AI?

AI Readiness: Is Your Organization Ready for AI? It Depends

Stephen Mann April 2, 2026

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.

What I Learned from SDI SPARK26

Superheroes, Service Desks, and Chaos Monkeys – What I Learned from SDI SPARK26

Vawns Murphy March 30, 2026

The Service Desk Institute held its annual SPARK conference in Birmingham in March. Vawns Murphy captures her pick of the best sessions, the presenters worth listening to a second time, and the practical takeaways that stood out over three days of talks. This article is her selected version of the event for anyone who couldn’t get there in person.