Automation & AI Articles

Two grain silos on a farm, each displaying a portrait, representing silos in IT service management

Simplicity, Service, and the Discipline of Asking Why

Christian Nissen spent four decades in IT service management and helped shape ITIL along the way. In his Conversations with Giants episode, he makes the case that the industry keeps isolating capabilities it should be reintegrating, that it has swapped service for product, and that the skills worth learning are older and plainer than newcomers expect. Here are the ideas practitioners can use now.
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, high-quality context within most IT environments. From CMDB accuracy and knowledge articles to service catalogs and tacit expertise, AI is only as effective as the information it can access. Without strong contextual foundations, even the most advanced AI simply scales existing issues. The real opportunity lies in building richer, more reliable ITSM context so AI can deliver consistent, meaningful operational value.
Illustrated humans and AI robots in a meeting representing Agentic AI in ITSM collaboration

Agentic AI in ITSM Insights and Correlations

Discover the latest findings from the 2026 HCLSoftware-sponsored ITSM.tools survey on Agentic AI. This article explores AI adoption trends, governance priorities, regional differences, and the correlations between AI maturity, trust, business value, and organizational success, helping IT leaders better understand where Agentic AI is delivering measurable impact in ITSM.
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 many organizations are discovering that AI can only be as effective as the processes, data, and governance supporting it. New research shows a significant gap between widespread AI implementation and the maturity of underlying ITSM practices. While AI is delivering value through automation, predictive insights, and improved user experiences, it cannot compensate for fragmented workflows, disconnected tools, or inconsistent data. As organizations pursue agentic AI and larger-scale automation, strengthening ITSM foundations (an ITSM reset) may be the most important step toward achieving sustainable AI success.
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. This article explains how established ITSM capabilities – including risk classification, service ownership, CMDB visibility, change management, incident response, and access governance – can provide a practical framework for AI agent governance. Rather than creating entirely new governance models, organizations can extend existing service management practices to ensure accountability, oversight, and operational resilience in the age of agentic AI.
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

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

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.
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. And with the emergence of AI, a ticketless enterprise is becoming a reality, allowing Enterprise operations teams to become more effective and less expensive.
ServiceTeam ITSM Enterprise 3.0

Provance ServiceTeam ITSM Enterprise 3.0

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

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.
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. New research from KTSL and BMC Helix shows the reasons aren’t about the technology.
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?

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

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

SITS26 brought together ITSM leaders, practitioners, and vendors to explore the future of AI, automation, change management, digital employee experience, and service transformation. Here are some of the biggest lessons and practical takeaways from this year’s event in London.
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. 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.