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The State of AI in ITSM, from Possibilities to Production!

The AI adoption gap is closing fast, discover how leading organizations are leveraging AI in ITSM.

See where 392 IT leaders really stand on AI adoption and gain a proven roadmap leading IT organizations are using to move from pilot to production.

Drawing on original survey data from TeamDynamix, this eBook reveals the gap between AI conviction and AI execution: 87% of organizations expect to be in production within 24 months, yet only 4% have reached widespread deployment. This report shows what separates the two, and how to close that gap between the possibilities of AI and realities of your current production environment. Includes 14 key questions to ask before you start your next ITSM upgrade or AI initiative.

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    As AI reshapes IT Service Management, most organizations are stuck in the same place: engaged, piloting, and encountering real friction on the way to scale. Projects stall on the wrong ITSM Platform, executive leadership is expecting traction and ROI, and lack of integrations gets treated as a blocker instead of an opportunity. Many IT leaders underestimate how close they could be to reaping the benefits of AI in production environments as many of their peers are already close to, or in, production.

    Close the AI Adoption Gap in ITSM

    AI in ITSM is closer than you think, if the right path is followed.

    Discover: 

    • Build your data foundation without waiting for “clean” data first
    • Pick your first AI use cases so initial deployments create success
    • Turn a demanding executive into a champion with proof, not promises
    • Choose an ITSM platform where AI is native to the workflow — not bolted on
    • Escape the “pilot trap” that strands proof-of-concepts before they scale

    What You’ll Discover

    In this report, IT leaders will gain:

    • Where the market really stands — a four-stage adoption curve and exactly where the majority (55%) are stuck today
    • The five measurable outcomes early adopters report, from ticket deflection to reduced resolution time to lower support costs, benchmarked by deployment stage
    • A four-lever AI readiness framework — data foundation, native architecture, use case sequencing, and change management — used by the organizations that scaled successfully
    • The deployment model that determines whether your AI investment compounds or plateaus
    • The questions every IT leader should be asking before their next ITSM platform decision, now that 97% of leaders say AI will be a major or critical factor in that choice