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How to Calculate the Benefits of AIOps for your Organization

The term AI for IT Operations (AIOps) is drawing lots of attention these days. With a goal of helping enterprises shift IT operations from reactive to predictive, AIOps is becoming a necessity for businesses that deal with dynamic and complex IT environments. 


While the ROI you can achieve by implementing AIOps is significant, how do you apply it to your organization?

Good news, we have some answers for you! Over the past year, we have conducted a study across Fortune 2000 companies to help you understand exactly how AIOps can impact your own IT environment*. 


As a result of our research, we have defined 5 key areas where AIOps drives most of its benefits:

  1. IT Productivity Improvements - Decrease MTTR 
  2. Prevention of Outages - Predict P1 incidents
  3. Automation - Remove repetitive manual tasks 
  4. Increased Output from Employees - Optimize the capacity of your IT team
  5. Cost Savings - Reduce the use of multiple on-premise solutions and outsourcing costs 

After defining where AIOps will contribute most to your IT Operations, let's calculate the benefits. For the purpose of this study, we have based our research on digitally transformed organizations with implementation of ITSM and various digital monitoring tools that have the following characteristics:

  • 15,000 Employees
  • 15,000 Incidents per Month 
  • 4,000 Servers (virtual or physical)
  • 600 IT Practitioners (L1-L3)


Now that we have the information we need to base our calculations on, let's get to work. Here's an example that you can apply to your organization to calculate the benefit of IT Productivity Improvements:



*Register here to receive a complimentary ROI consultation fit to your own IT specifics. 


If you'd like to learn about the exact calculations and the full study, watch the on-demand webinar How to Quantify the Benefits of AIOps.


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Loom Systems delivers an AIOps-powered log analytics solution, Sophie, to predict and prevent problems in the digital business. Loom collects logs and metrics from the entire IT stack, continually monitors them, and gives a heads-up when something is likely to deviate from the norm. When it does, Loom sends out an alert and recommended resolution so DevOps and IT managers can proactively attend to the issue before anything goes down.
Get Started with AIOps Today!


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