Articles tagged with Artificial Intelligence

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

Manish Sharma June 17, 2026

Many ITSM tool renewals are treated as procurement exercises when they should be strategic business decisions. With AI reshaping service management, increasing pressure to reduce costs, and rapidly evolving vendor capabilities, renewing the status quo is no longer the default choice. This guide outlines a practical 90–180 day framework for evaluating your current platform, assessing alternatives, and building stakeholder alignment before contract renewal. It also covers the seven critical questions every IT leader should answer to determine whether to renew, expand, or replace their ITSM solution with confidence.

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

Matt Beran June 16, 2026

AI doesn’t fix broken processes – it scales them. While many ITSM teams focus on automation and autonomous IT service desks, the real determinant of AI success is operational maturity. Learn why knowledge quality, workflow consistency, governance, and data hygiene are the foundations of sustainable AI adoption in IT service management.

ServiceTeam ITSM Enterprise 3.0

Provance ServiceTeam ITSM Enterprise 3.0

Stephen Mann June 11, 2026

Provance ServiceTeam ITSM Enterprise 3.0 continues the platform’s evolution as a Microsoft-centric service management solution built natively on Microsoft Power Platform. Designed for organizations looking to maximize existing Microsoft investments, the solution combines ITIL-aligned service management capabilities with low-code flexibility, workflow automation, AI-driven innovation, and deep integration across Microsoft 365, Azure, Power BI, Power Automate, and related technologies. ServiceTeam ITSM Enterprise 3.0 offers organizations a modern alternative to traditional ITSM tools while leveraging the scalability, security, and extensibility of the Microsoft ecosystem.

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

Salil Karkarni June 10, 2026

Strategic roadmaps are filling up with AI agents, command towers, and intelligent automation. Yet 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.

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

Sophie Danby June 5, 2026

Lynda Cooper has edited ISO 20000 for over a decade. Her view of why the standard works is also her clearest answer to the question everyone gets wrong about it: standards tell you what to do, not how to do it. The how is what frameworks are for.

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

A shift is beginning, including for self-healing. AI agents are increasingly automating not only operational IT service tasks but also parts of ITSM platform implementation, configuration, and ongoing maintenance. As these capabilities mature, organizations can expect lower costs, less manual intervention, and systems that increasingly manage and optimize themselves.

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 actually start: the endpoint. A look 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 removing the people who used to catch the mistakes. The real question isn’t how to implement it, but whether your operating model can survive it.

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. 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, which is exactly why no new wave of tech has managed to kill it. If anything, 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 somehow adds another layer of complexity instead. Rui Alves argues that bolting AI onto a tangle of disconnected systems just gives you automation without intelligence, and that 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. A practical checklist for what AI-ready operations actually require.

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. The pattern, as Kaimar Karu sees it, is that organizations adopt each one without first knowing what they want from it, and then act surprised when the results don’t live up to the hype. In this episode of Roman Jouravlev’s Conversations with Giants series, Kaimar covers the iron curtain still sitting between ITIL and DevOps, why the ITIL guiding principles are a net rather than a recipe, why AI should never be the goal in itself, and the skills technology won’t easily 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 rather than treating the buzzwords as a checklist.