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<\/p>\nAI in ITSM is everywhere... on paper. Virtually all providers claim to have AI: chatbots, \u201cintelligent resolution,\u201d \u201cpredictive automation\u201d\u2014the jargon repeats itself from one website to the next.<\/p>\n
That gap\u2014between \u201cwe have AI\u201d and \u201cwe use AI in a mature way\u201d\u2014is the question that really matters when evaluating a tool. It's not a question of whether it has AI. That's what this AI does in practice, every day, with your actual tickets.<\/p>\n
Many AI implementations in ITSM remain superficial: a chatbot that answers frequently asked questions, an automatic category suggestion for a ticket\u2014and little else. It's useful, but it falls short of what the marketing claims.<\/p>\n
True maturity means something else: that AI actively participates in solving problems, not just in categorizing or redirecting them. The difference between the two levels usually comes down to two factors: the quality of the data the AI works with, and the extent to which the organization has redesigned its processes to take advantage of it, rather than simply \u201cadding\u201d it to a workflow that remains the same as always.<\/p>\n
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Beyond the general rhetoric, this is how maturity looks in practice within an ITSM+ITAM platform:<\/p>\n
The result\u2014as measured among customers who already have these capabilities in production\u2014translates to estimated savings of between 20% and 35% on administrative support tasks. That's the kind of data that distinguishes a nice demo from a real impact on the bottom line.<\/p>\n
In keeping with our philosophy of not making empty promises, we prefer to be transparent even about what isn't ready yet. In the IAssists Showroom, you can now try out two features that are currently in the experimental phase; for now, they are based on static sample data:<\/p>\n
Both capabilities are still under development and have not yet been integrated into the product or been given a confirmed release date, following the same phased approach recommended by industry analysts such as Gartner<\/a> for the adoption of AI in ITSM. We prefer to put it this plainly: it is exactly the same standard by which we ask that any vendor discussing AI in ITSM be judged.<\/p>\n The starting point isn't to choose the tool with the most AI features listed in its product description. It means ensuring that there is a reliable database for the AI to work with: an up-to-date asset inventory, a well-documented incident history, and standardized processes.<\/p>\nHow to Take the Leap Without Losing Control<\/h2>\n