AIOps Buyer’s Guide

IT teams aren’t juggling a single big problem. They are navigating fragmented data, siloed workflows, and tools that generate more noise than answers.

IT environments are more complex than ever. Teams manage 20 or more monitoring tools, respond to thousands of alerts per day, and still struggle to detect, prioritize, and resolve incidents fast enough to meet customer expectations. The result is missed SLAs, endless bridge calls, and operators who spend more time chasing context than fixing what is broken.

The right AIOps platform can change this. But not all platforms are built the same. Knowing what to look for separates a platform that delivers real outcomes from one that will just make your IT team’s life harder.

The stakes are high:

• 69% of IT respondents say at least 25% of the mean time to resolution is wasted waiting for information. (EMA Research)
• 100% of IT leaders plan to increase their use of automation, AI, and AIOps in the next 6 to 18 months. (Enterprise Management Associates)
• “The AIOps tool saves us a lot of time and lets us focus on resolving problems instead of combing through thousands of alerts.” — Chuck Adkins, CIO, New York Stock Exchange

Key takeaways: The BigPanda AIOps buyer’s guide covers the criteria that matter most, including:

• How fragmented tools and siloed workflows are driving up incident costs and operator burnout — and what an AIOps platform does differently
• The key capabilities to look for, from open integrations and data optimization to advanced correlation and AI transparency
• How to evaluate automation features that actually reduce toil, including ticketing, notifications, and runbook execution
• What outcomes to expect from a modern AIOps platform and how to measure them