Manual Tasks, Repetitive Stress: The Troubleshooting Time Sink

• The Hidden Cost of Manual Work

A McKinsey study found that engineers in infrastructure and operations spend up to 40% of their time on low-level, repetitive tasks — such as routine checks, log reviews, and ticket triage. This not only wastes valuable talent, but slows down strategic initiatives. Network troubleshooting often eats into hours that could be used to improve architecture or performance.

• Automation That Works with You, Not Instead of You

AI-powered network automation doesn’t replace engineers — it augments them. By offloading routine diagnostics, surfacing correlated issues, and providing real-time recommendations, AIOps platforms help engineers do more with less. Think of it as an intelligent assistant that filters noise and accelerates action — without requiring code or customization.

• Refocusing on High-Impact Work

When automation handles the routine, engineers can focus on projects that actually move the business forward — optimizing network performance, improving observability, and planning for scale. One mid-sized IT team reported saving 15+ hours per week by automating triage and alert correlation, allowing them to redirect effort toward capacity planning and zero-trust architecture.

Buried in alerts but still missing critical issues?

Observeasy cuts through the noise with AI-powered alert correlation and guided resolution. Go beyond dashboards — and into action, with less effort and greater insight.

Book a demo and experience alert management that actually works.