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10 Things Your AIOps RFP Should Include

Creating an RFP in an area that is new and innovative can be challenging. Whether you’re just looking into AIOps or actively considering to implement, you're probably going to need to write a Request for Proposal, or RFP


We know that there are a lot of products out there in the market, and each one has a slightly different approach (though marketing makes them sound similar). So how do you know what to ask if you've never done this before? We're here to guide you through the process by sharing the core capabilities you should expect from an AIOps solution (to get the most ROI from AIOps).


Before you go out and make the decision to purchase an AIOps solution, here are the 10 things (tech) you should make sure to ask your AIOps vendor:

  1. What native adapters/integrations do you use when we have different types of data?

  2. Are agents required for log streaming? If so, what technologies are needed and what is the complexity for implementation?

  3. What is the expected turnaround time from input data to actionable insights? 

  4. Does the solution offer predictive capabilities across the technology stack? (from application > middleware > infrastructure levels)

  5. Does the software automatically extract meaningful key values and patterns, or do we have to configure these explicitly for the software to draw correlations and insights?

  6. Can raw logs be used for incident prediction without the need to set manual thresholds?

  7. What are the capabilities/approaches to find root cause of incidents? Are resolution insights provided specific to the service?

  8. How granular are the reported incidents and proposed root causes? Down to the server, service, or individual log line?

  9. Is there a known error/knowledge base? How is it used?

  10. Can the software provide built-in incident resolution recommendations out of the box?

  11. [BONUS] What is the estimated mean-time-to-resolution (MTTR)?

Now that you have a better idea of what your AIOps RFP should include, you can narrow it down to your project's specific goals. Looking for more details? Download the complimentary full AIOps RFP template (40+ items).



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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