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Ivanti AEM Dashboard: AI-Driven IT Visibility & ROI

Ivanti
08/11/2026
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using our system of record and AI through MCP. As an example, we can start with our view around deflection and avoidance. One of the key aspects of a strong autonomous endpoint management solution is the ability to deflect issues and proactively resolve them before they even happen. Here's a view into what that potentially looks like in your environment. We break down the actions that are available to the autonomous system, rectify those problems before users have any issues, and keep note of them and track them in our system of record. So here are some examples of what some of those issues may look like, as well as views of things that could not be fixed automatically, like replacing devices that are past warranty or manually needing to create the policy for how these endpoints get configured. This also shows us examples or some recommendations on actions that we should take in order to fix those issues, like exporting those devices, prioritizing which devices need to be replaced based on high-valuable servers that need to operate in the environment, or laptops for executives, etc. You may also be looking for a view of what the revenue impact of some of the issues that are happening inside of your environment. By mingling with our data around how much it costs to operate certain services, as well as having a view of the interdependencies of those various services, we can get a financial view of the impact, and finally, a view of potentially where the cost savings are for automating these actions by filling out our ROI calculator. We can manually set the values for many of the aspects for this calculator, which will break down the view of what those savings look like and in what areas of the business it's most valuable.

TL;DR

  • Ivanti's AEM Dashboard uses AI and Model Context Protocol (MCP) to convert endpoint data into prioritized, actionable IT insights in real time.
  • The platform proactively deflects and resolves endpoint issues before users are impacted, tracking all autonomous actions in a central system of record.
  • Issues that cannot be auto-remediated — such as out-of-warranty device replacements or new policy creation — are surfaced with prioritized recommendations for manual action.
  • A built-in ROI calculator lets IT teams quantify cost savings from automation and map financial impact across specific business areas and service interdependencies.

Summary

This short product demonstration walks through the Ivanti Autonomous Endpoint Management (AEM) Dashboard, showcasing how AI and the Model Context Protocol (MCP) transform raw endpoint data into actionable IT intelligence. The demo highlights three core capability areas: proactive issue deflection, autonomous action tracking, and financial impact analysis. Viewers see how the dashboard surfaces issues that the autonomous system has already resolved before users are affected, alongside items that still require manual intervention — such as replacing out-of-warranty devices or defining new endpoint configuration policies. The system provides prioritized recommendations, for example flagging high-value servers and executive laptops as top candidates for device replacement. On the financial side, the dashboard integrates service cost data and interdependency mapping to quantify the revenue impact of unresolved issues. A built-in ROI calculator allows IT teams to input custom values and generate a breakdown of cost savings by business area, giving leadership a clear picture of the return on automation investment. The overall message is that Ivanti AEM functions as a true system of record — one that not only acts autonomously but also provides the visibility and financial context needed to justify and optimize IT operations at scale.

Chapters

0:00 - AI & MCP Dashboard Overview
0:10 - Issue Deflection & Proactive Resolution
0:50 - Autonomous Action Tracking
1:13 - Revenue Impact & ROI Calculator

Key Quotes

0:14 "One of the key aspects of a strong autonomous endpoint management solution is the ability to deflect issues and proactively resolve them before they even happen."
0:28 "We break down the actions that are available to the autonomous system, rectify those problems before users have any issues, and keep note of them and track them in our system of record."
1:20 "By mingling with our data around how much it costs to operate certain services, as well as having a view of the interdependencies of those various services, we can get a financial view of the impact."

FAQ

What types of issues can Ivanti AEM resolve automatically versus those requiring manual intervention?

The AEM platform autonomously detects and resolves a range of endpoint issues before users are affected. Issues that cannot be automated — such as replacing devices past warranty or creating new configuration policies — are flagged in the dashboard with prioritized recommendations for manual action.

How does the ROI calculator work in the AEM Dashboard?

The built-in ROI calculator allows IT teams to manually set values for various cost parameters. It then generates a breakdown of projected savings from automation, organized by business area, so leadership can see where automation delivers the most financial value.


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