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Illustrated monitoring device with dials and signal lines representing third-party risk detection and trusted runtime truth in IT operations

Agentic IT and Third-Party Risk: Why Trusted Runtime Truth Matters

Strategic roadmaps are filling up with AI agents, command towers, and intelligent automation. Yet both Agentic IT and third-party risk programs share a hidden constraint that rarely makes it into keynotes: neither can succeed without a trusted, runtime view of what exists, how it is connected, and which services it supports.
Illustrated figure measuring with a large ruler, representing flow metric measurement in IT service management rather than just SLA use

SLA Compliance is Misleading: How to Measure True IT Service Health

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.
Bold pop-art illustration of three geometric figures in shutter shades, representing agentic AI concepts in ITSM

The State of Agentic AI in ITSM 2026: Adoption Trends, Benefits, and Challenges

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.
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