Live webinar

AI isn't replacing your IT team — here's what it's actually doing

IT Help Desk agent explaining AI automation data

Key highlights

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Real production data. Not a survey.

17,929 agentic plans and 147,351 actions from 40+ companies, analyzed over 13 weeks of live IT operations. No self-reported estimates here.

The new division of labor

See exactly how work splits between AI agents and human analysts in practice, why full autonomy isn't the goal, and what "good" supervision actually looks like.

Why most failures aren't an AI problem

Find out why roughly 3 in 4 agentic failures trace back to stale directory data — and what to clean up before you scale.

What you'll learn

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Agentic AI is reshaping IT in profound ways, and the early data points to a clear shape: a new division of labor. Among early adopters, AI agents handle more and more of the routine execution, while analysts supervise, approve, reject, redirect, and step in when a request needs judgment. AI is showing up not as an autonomous replacement for IT work, but as a structured layer for coordinating and executing it.

Join Fixify's Matt Peters (CEO) and Mase Issa (COO) as they walk through the data and show you how to use it:

How the work actually splits between AI and analysts, and why the healthy model is supervision, not full autonomy
Why the analyst "no" is one of the most valuable signals in the system, and how rejection rates change as the automation learns
Where agentic execution concentrates today (identity and access), and why getting your directory in order is the prerequisite to scaling
Why roughly 3 in 4 failures trace back to stale data, not the model, and the operational cleanup that pays off before you expand
How to decide what to automate first: the overlap of high-volume, well-understood, and reversible work

Whether you're evaluating agentic AI, trying to figure out what "good" looks like, or building the internal case for where to start, we'll give you the data to back it up.