2026 State of ITSM Report: From AI Potential to Real Payoff
AI is now part of daily IT service management (ITSM), but adoption alone doesn't guarantee impact. This report shows where AI delivers ROI, where it adds hidden overhead, and what separates high-performing teams from those still managing activity.
Download the report for exclusive insights, including:
- Why productivity gains are lost to tuning, integrations, and manual reviews
- What the 2.4x workload gap between outcome- and activity-based teams is
- How structured workflows turn AI potential into operational advantage
Get the 2026 Report
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The Truth About the Benefits of AI in ITSM
See where AI is delivering ROI, why workload still feels heavy, and what mature teams do differently.
ROI Is Real
84% of respondents say AI has met or exceeded ROI expectations, showing measurable gains.
Workload Still Feels Heavy
52% of respondents say workload stayed the same or increased after AI adoption.
Maturity Changes the Outcome
Teams using activity-based measurements are 2.4x more likely to report higher workload than teams measuring business outcomes.
ROI Starts in Structured Work
AI delivers its clearest payoff first in structured, measurable workflows, with incident resolution leading reported ROI at 26%.
Key Findings: The True Payoff (and Cost) of AI in ITSM
What the data reveals about AI ROI, workload, and maturity.
Is AI delivering a real productivity payoff in ITSM?
Is AI delivering a real productivity payoff in ITSM?
Yes. The vast majority of IT professionals, 84%, say AI has met or exceeded their return on investment expectations, driving measurable time savings across every core workflow measured. The report also gives readers a grounded view of the future of ITSM as AI moves from experimentation to measurable operational value. Download the full report to see the exact weekly hours reclaimed by task category, from issue detection to ticket triage.
If AI is saving time, why are overall workloads not going down?
If AI is saving time, why are overall workloads not going down?
This is one of the clearest ITSM trends revealed in the research. More than half of respondents, 52%, say their total team workload has increased since adopting AI, while another 19% say it has stayed flat. The hours saved on frontline ticketing are often reabsorbed by new operational overhead, such as model fine-tuning, integration maintenance, and manual output reviews. Access the report to see the top AI maintenance responsibilities consuming engineering time.
What separates teams getting a true operational payoff from those still managing overhead?
What separates teams getting a true operational payoff from those still managing overhead?
Strategic discipline and stronger measurement maturity. The report shows one of the most important ITSM trends is the shift from activity-based metrics to outcome-based measurement. In fact, organizations relying on traditional activity metrics are 2.4x more likely to report increased workload than mature teams that explicitly track business outcomes.
September 9, 2026
Webinar: From AI Potential to Real Payoff
Webinar: From AI Potential to Real Payoff
Join us in unpacking key findings from the 2026 State of ITSM Report, including where AI is driving ROI and why workload still feels heavy for many teams.
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