Are we moving from UEM to something of an autonomous nature?Solved

Participant
Discussion
15 hours ago Mar 26, 2026

Lately I’ve been feeling like traditional UEM is starting to hit a ceiling. We can automate policies, push scripts, schedule actions-but it still feels very “human-driven.” 

With fleets growing bigger (we’re heading toward ~200k devices), I’m wondering… is the future just more automation, or something fundamentally different? 

Replies (6)

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Participant
13 hours ago Mar 27, 2026
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It’s more than just better automation. The way we interact with these systems is starting to change. 

Right now, everything is still command-based. We decide what needs to be pushed, when it should happen, and how to fix things when they break. What’s coming next flips that model. Instead of telling the system exactly what to do, we define what outcome we care about, and it handles the rest. 

For instance, instead of pushing a config for Zoomyou’d just say you want it running reliably across devicesand the system keeps it that way. 

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Participant
13 hours ago Mar 27, 2026
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Here too..you can already see hints of that with Hexnode’s Genie AI. It’s not just dashboards and logs anymore..you’re asking questions, getting context, even triggering fixes from a conversation. 

But that still depends on someone stepping in. The real shift is when that step disappears and the system starts acting on its own. 

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Participant
12 hours ago Mar 27, 2026
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Exactly. And the biggest change is where decisions happen. 

Today, everything flows through the server. It detects something, decides what to do, and then the device executes. That loop introduces delay, even if it’s small. 

What’s coming next pushes that logic to the device itself. It detects, decides, and fixes locally. No round-trip, no waiting. That’s how you get remediation times down to almost nothing. 

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Participant
10 hours ago Mar 27, 2026
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That sounds great in theory, but drift is always messy. How does it decide what’s actually wrong versus what’s just… different? 

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Participant
8 hours ago Mar 27, 2026
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That’s where it stops behaving like traditional UEM. Instead of treating every deviation as a problem, it tries to understand the change. If someone tweaks something and it actually improves performance without introducing risk, there’s no reason to roll it back. In fact, the system can learn from it. 

So instead of enforcing a fixed baseline, you end up with something that evolves based on what’s working in the real world. 

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Participant
5 hours ago Mar 27, 2026
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Yeahwe’re in for an interesting ride for the next few years. Will have to wait and watch how UEM evolves. 

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