Managing IT service and operations has never been more complex. Ticket volumes are climbing, compliance and governance standards are constantly evolving, and IT teams face mounting pressure to support the business while adopting new AI-driven tools. At the same time, most organizations are still reacting to incidents rather than preventing them.
Native ServiceNow tools already provide a strong foundation for ITSM and ITOM, but many organizations aren’t yet taking full advantage of the AI capabilities built into the platform, or aren’t sure what order to roll them out in.
During a recent XenTegra webinar, Senior Solution Architects Kristin McDonald and Becky Whiten walked through how ServiceNow’s ITSM and ITOM capabilities work together to help organizations move from reactive support to what ServiceNow calls its “autonomous IT future.”
ServiceNow has held a leadership position in ITSM for years, offering the standard capabilities IT teams expect: fulfiller workspaces, end-user portals, chatbots, service catalogs, and automated fulfillment.
But delivering those capabilities well is only part of the equation. Most IT organizations are still contending with:
ServiceNow’s answer to these challenges is a roadmap built around eliminating friction entirely: zero touch support, zero service outages, zero touch assets, zero severe breaches, and zero touch planning. No organization operates at “zero” today, but every new ServiceNow release is built to move customers closer to it.
Much of that progress comes from how ServiceNow is layering AI onto an already-established enterprise platform. Because the data, workflows, and escalation paths already exist inside ServiceNow, AI features can be trained on real incidents, knowledge articles, and historical resolutions from day one, without organizations needing to rebuild a knowledge base from scratch.
ServiceNow distinguishes between two types of AI on the platform:
Think of an AI agent as a point solution for one task, and an AI specialist as the equivalent of a level-one help desk employee who can take a broader approach to resolving an issue.
On the ITSM side, ServiceNow’s zero touch support goals are built around four core areas.
Autonomous agents, automation, and embedded AI skills help fulfillers resolve tickets faster, whether that means fully automating resolution or simply surfacing the right knowledge article or related ticket at the right time. ServiceNow’s Level One Service Desk agent can independently work and resolve tickets using pre-defined skills, with organizations retaining full control over what the agent is allowed to do. Major Incident Management continues to serve as a command center for high-severity events, coordinating communications and on-call resources for fast escalation.
ServiceNow’s acquisition of MoveWorks brings a significantly more natural, conversational AI chatbot experience to the platform, one capable of walking end users through service catalog requests step by step rather than simply pointing them to a form. Combined with the Employee Service Center, this integration (referred to as “Employee Works”) is becoming the front door for end users across Teams, Slack, and other channels, driving higher ticket deflection. AI voice capabilities are also emerging as an important next step, since speaking through an issue is often faster and more natural than typing it out.
Modern chatbot interactions are far less rigid than earlier virtual agent experiences, allowing users to troubleshoot step by step and self-resolve issues before they ever become incidents.
Every resolved ticket becomes an opportunity for the platform to learn. ServiceNow can automatically draft knowledge articles from existing work notes and resolution notes, identify knowledge gaps through reporting, and apply sentiment analysis to flag incidents that may need additional review or escalation.
Where ITSM focuses on supporting the end user, ITOM is focused on keeping systems running and catching problems before anyone notices. This side of the platform is also organized around four areas: accelerated response, self-healing operations, preventive operations, and compound learning.
Event correlation dramatically reduces alert noise. Customers have reported noise reduction of up to 96% and mean-time-to-resolve improvements of up to 50%, allowing engineers to focus on what actually matters instead of chasing down every alert individually.
Most outages don’t happen without warning signs; they typically show up first in logs, metrics, or infrastructure behavior. ServiceNow can collect health signals from monitoring tools like Splunk, Datadog, and Dynatrace, identify abnormal behavior, and even trigger remediation playbooks automatically, in some cases resolving an issue like a memory leak by restarting a server before a user ever files a ticket.
By layering business services on top of a well-maintained CMDB, operators can immediately see what’s broken, who’s affected, and whether a recent change may be the cause, all from a single operational view instead of jumping between multiple monitoring tools. Organizations that put these capabilities in place have reported roughly 30% improvement in automated alert closures and around a 30% reduction in controllable outages.
Every incident becomes fuel for future automation. Rather than simply documenting lessons learned, the system learns from incidents, changes, and existing automation to recommend resolutions the next time a similar issue occurs.
Nearly every capability discussed above depends on one foundational element: an accurate Configuration Management Database (CMDB). You can’t automate what you don’t know exists in your environment.
That’s where Discovery and Service Mapping come in. Discovery identifies the servers, databases, applications, cloud resources, and network devices in your environment, while Service Graph Connectors bring in data from tools like Intune and SCCM using identification and reconciliation (IRE) rules to determine which source of data should be treated as the “golden record” when information conflicts.
Service Mapping builds on that foundation by showing not just what failed, but everything connected to it. If a SQL Server database goes down, service mapping can show that the outage affects a customer portal, payroll, and an ERP system, giving teams immediate insight into scope and business impact.
ServiceNow has also added certificate management to this layer, automatically discovering certificates, tracking expiration dates, identifying owners, and automating renewals to prevent one of the most common and avoidable causes of outages.
ServiceNow’s Learning Enhanced Automation Platform (LEAP) represents where this is all heading. By learning from incidents, changes, automations, and knowledge articles across the platform, LEAP can recommend automation and remediation steps, effectively giving every engineer on a team access to the experience of the organization’s most knowledgeable person.
The goal isn’t to replace engineers with AI. It’s to remove repetitive operational work so teams can spend less time firefighting and more time on higher-value problems.
Because every organization’s pain points are different, there isn’t a single “correct order” for implementing these capabilities. That said, a few patterns hold true across most environments:
Not every AI use case is created equal, either. Repetitive, well-documented processes like password resets are strong automation candidates, but organizations should be cautious about giving AI agents autonomous authority over security-sensitive actions without proper governance and human oversight in place.
ITSM and ITOM aren’t competing priorities, they’re two halves of the same goal. Together, they give organizations the foundation, visibility, and automation needed to shift from reactive firefighting to autonomous operations, where outages are prevented rather than resolved, employees stay productive, and IT becomes a strategic driver for the business rather than a cost center.
Whether you’re just getting started with ServiceNow, working to mature your existing ITSM or ITOM practice, or trying to figure out the right order of operations for AI-driven features, XenTegra can help. Our ServiceNow Accelerate program pairs you directly with our senior solution architects for a scoping session and dedicated advisory hours to help build your roadmap.
Connect with XenTegra to learn how our ServiceNow Accelerate program can help you get more value out of ITSM and ITOM.
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