EasyVista, a global leader in IT service management (ITSM) solutions, today released new research revealing that while AI adoption in ITSM is widespread, most organizations are still building the operational maturity required to consistently scale its impact. Only 12% of enterprises describe their ITSM approach as fully mature and proactive, while more than 40% operate in partially structured or ad hoc environments, limiting how consistently AI can be applied and how far its value can extend.
95% of organizations are already using AI to improve ITSM processes.
Only 12% describe ITSM approach as fully mature and proactive.
Common AI applications include workflow automation, reporting, and incident prevention.
Budget constraints (38%), lack of skilled IT personnel (36%), and integration gaps (35%) are top challenges.
Integration complexity (18%), lack of expertise (13%), and cost concerns (13%) are key AI adoption barriers.
Survey of 1,100 IT professionals globally.
"AI is already widely adopted in ITSM, particularly in early-stage use cases, and that is an important signal," said Keith Andes, Head of Product Marketing, EasyVista. "However, leader sentiment is outpacing reality, as the value of global deployment outcomes are not yet proven. This research shows that weak process discipline, poor integration, and low-quality data limit what AI can consistently deliver. Scaling from here will require organizations to invest in operational maturity."
Based on a global survey of 1,100 IT professionals, the research shows that 95% of organizations are already using AI to improve ITSM processes. Common applications include workflow automation, reporting, and incident prevention. While a majority report that AI meets or exceeds expectations, particularly in structured use cases like task automation and incident management, leaders lack clear measures of ROI and hesitate to deploy AI without human-in-the-loop intervention.
The research also highlights broader operational pressures. Budget constraints (38%), lack of skilled IT personnel (36%), and integration gaps (35%) are among the top challenges organizations face. These same issues are reflected in AI adoption, where integration complexity (18%), lack of expertise (13%), and cost concerns (13%) are key barriers.
These findings reflect a shift from isolated AI use cases toward more integrated, workflow-driven models. This is reflected in EasyVista's continued investment in embedding AI directly within ITSM processes, including its EV Pulse AI Conversations to support more efficient, user-centric service interactions.
About EasyVista
EasyVista is a leading ITSM platform helping organizations simplify IT operations, improve service maturity, and deliver AI-powered service management. Through a unified platform that combines service management, automation, monitoring, and remote support, EasyVista enables the office of the CIO and IT teams to turn everyday IT work into measurable outcomes.
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