# How do you balance Ivanti AEM self-healing with control on legacy systems?

I like the AI-driven self-healing engine and real-time risk-based patching that can fix issues before performance drops and reduce support tickets. But the learning curve and clunky UI/UX make onboarding tough for new admins, and the AI can feel too aggressive when it forces updates that disrupt legacy systems. Integrations also seem complex, and slow support plus opaque pricing make ROI harder to gauge upfront. How are you tuning automation, rollout controls, and integrations to avoid disruption while still getting the benefits?

##### Post Metadata
- Posted at: 1 day ago
- Author title: Ai Engineer
- Net upvotes: 1



## Related Product
[Ivanti Autonomous Endpoint Management](https://www.g2.com/products/ivanti-autonomous-endpoint-management/reviews)

## Related Category
[Autonomous Endpoint Management (AEM)](https://www.g2.com/categories/autonomous-endpoint-management-aem)

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