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SLA metrics capture resolution and response times against fixed targets. They’re aggregate. They’re historical. But they tell you nothing about internal flow quality. A team might optimize for the clock. But the way they get there – escalation ping-pong, midnight heroics, workarounds instead of fixes – degrades the system underneath.
Nearly three-quarters of organizations are already using their ITSM tools’ AI capabilities, and 94% of those able to rate the results report efficiency improvements. But agentic AI adoption is still in its early stages, with data quality, governance, and skills gaps slowing it down. This article shares six key findings from the State of Agentic AI in ITSM 2026 survey, with links to the full report and a webinar covering the results.
Lynda Cooper has edited ISO 20000 for over a decade. Her view of why the standard works is also her clearest answer to the question everyone gets wrong about it: standards tell you what to do, not how to do it. The how is what frameworks are for.
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