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Driving ROI from AIOps – What Can You Expect?

In our last blog post, we touched on the History of AIOps and how it lightens the IT workload by automating manual tasks such as monitoring, parsing, etc. –freeing IT teams to tend to higher-value IT tasks.

The question now is what does it mean for you? Informing is a little different than implementing, so how can organizations begin to gain value from an AIOps solution? In this blog post we will highlight how Fortune 2000 companies have derived ROI from AIOps, and what you should expect from it. 


Artificial Intelligence is taking a vital role in day-to-day IT Operations for businesses undergoing a digital transformation or cloud migration. This is why over the past year, we made a research to provide you with the best knowledge to navigate AIOps and get the best out of it.


Here are the five major ROI contributors when implementing AIOps: 


  • IT productivity improvements:  By automating the analysis, centralization, and integration of logs from different sources, an AIOps solution is able to substantially reduce the number of hours needed to resolve incidents, making IT productive with the same resources and reducing MTTR by 45%. 


  • Prevention of outages: AIOps uses a tribal knowledge base that is able to automate root-cause analysis, thus reducing the number of P1 incidents by 42%. This empowers support teams to handle most application and infrastructure issues without escalation to DevOps or R&D.


  • Automation: By fully automating incident response, organizations can significantly reduce and sometimes remove human need in the process of resolution while increasing the efficiency of IT. 


  • Increased output from employees: Introducing an AIOps solution to cover your applications, infrastructure and network monitoring empowers IT to deliver growth and stability to the business –the crown jewel for the modern CIO– using the same team and an easier, more scalable process, increasing the overall capacity of the IT team by 18%. 


  • Cost savings: By implementing AIOps, organizations reduce the use of multiple on-premise solutions and associated maintenance while also reducing outsourcing costs. 


A white paper on the subject will soon be released. Subscribe to our newsletter below and get notified once it's available to download!



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.
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