AI in IT support is moving from human-assisted to autonomous, and it's already happening for Tanium and ServiceNow customers. Most conversations about agentic IT focus on platform integrations and capabilities, but this one is about the humans who make that automation trustworthy in the first place. ScreenMeet's remote support integration works natively in Tanium and ServiceNow, using AI Summaries to capture the full picture of a session — what the technician did on the endpoint and what actually happened for the end user, not just what the ticket says — which is exactly what Tanium's Atlas platform needs for fleet-wide, autonomous remediation. This session covers how AI Summaries capture that data today, what's next across coaching, KB drafting, and QA, and how it feeds Atlas, with perspective from customers living this shift. Takeaway, the Ten-Ticket Test: pull ten incidents resolved last month and try to reconstruct the reported issue, the endpoint issue, and what resolved it — if the data doesn't hold up to that test, it's not ready to power autonomous remediation either.

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