The Compounding CMDB: How Executive Decisions Reduce IT Outages
Most organizations overestimate what a single CMDB “transformation” can do and underestimate the power of a stream of small, compounding design and automation decisions. This article explains the benefits of the latter over the former.
5 AI Terms Every ITSM Practitioner Should Know in 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.
Are You Doing Service Management, or Delivering Value?
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, why the guiding principles were ITIL Practitioner’s most important contribution, and why using agentic AI to cut headcount is the wrong use of the technology.
Your ITSM Operating Model Is Blocking AI Adoption
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 project work compete for the same people, and reactive always wins. His fix is bifurcated execution, separating the two into distinct streams with protected capacity, so AI initiatives stop drifting toward urgency.
When is a Service Not a Service? What ITSM Can Learn from Uber
This article takes my less-than-stellar experience with Uber and considers it through an ITSM lens. Hopefully, it might also make you think about the services your IT organization offers and delivers, and how they are perceived by your end-users/customers.
When ITIL Meets Developer Culture: Why ITIL Fails Without Shared Understanding
When Askar joined as a Developer Experience (DevRel) consultant at one of Kazakhstan’s largest banks with 700+ engineers, he expected the usual challenges: stakeholder alignment, change resistance, legacy tooling. What he didn’t expect was to watch a mature ITIL 4 implementation quietly fail to deliver what it promised.
Service Management Maturity Models: A Practical, Evidence-Based Approach (Pros, Cons, & Framework)
This article explores the role of maturity models in Service Management and ITSM – what they do well and where they often fall short – and introduces a more practical approach your organization can adapt to drive meaningful improvement.
Shadow AI in IT Support: When Employees Fix Problems Outside the Service Desk
It’s 9am and a sales manager hits a VPN error before a client call. Rather than wait on a service desk ticket, they paste the error into an AI tool and get a fix in seconds. The problem is solved, but no incident was recorded. Judin Joan Soundarya S of ManageEngine looks at what shadow AI costs problem management and security operations, and the practical ways ITSM platforms can regain that visibility without slowing users down.
Agentic ITSM: Understanding the 4 Levels of AI Maturity in IT Service Management
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 them to look for. He also offers the questions to put to any vendor claiming agentic AI.
The ITSM Industry’s Repeating Failure Pattern
For over 20 years, ITSM has repeated the same failures. Through ABC cards, Paul Wilkinson reveals how culture, leadership, and behavior – not tools or frameworks – consistently derail success. As AI becomes the latest “shiny new thing,” the question remains: why hasn’t the industry learned?
ITSM Tool Migration: Common Mistakes Teams Make (and How to Avoid Them)
ITSM tool migration is inevitable. The ITSM tool landscape is constantly shifting. Products are sunsetted, licensing models change, companies merge and consolidate platforms, and organizations simply outgrow their ITSM tools. At some point, you’ll migrate ITSM tool, whether you planned to or not. This article will help you!
Where Did ITSM Evangelists Go? And Why the Industry Needs Them Back in 2026
What happened to ITSM evangelists? Explore why they disappeared, the value they brought, and why the ITSM industry needs them more than ever in 2026.
Value, Silos, and Why You Need to Think Before You Build
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 throughout his career. 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.
Ending the L1 vs L2 Escalation Wars: Rethinking IT Support Tiers
A ticket gets escalated, comes back marked “add notes before escalation,” gets reassigned, then returns with “should have been resolved at L1.” Meanwhile the end-user is still waiting. Eusoph Simba argues the ticket ping-pong between support tiers isn’t an escalation problem but a problem with how we frame support levels. He makes the case for treating every ticket as an issue to solve, escalating on capability rather than hierarchy, and a simple standard format that breaks the loop.
Neurodivergence in ITSM: Why Being Called a “Legend” Feels Uncomfortable
This article by Daniel Breston is about neurodivergence in ITSM and was sparked (pardon the pun) by his attendance – and what he did and didn’t feel – at the Service Desk Institute (SDI) SPARK26 event.