Operations | Monitoring | ITSM | DevOps | Cloud

Across the IT industry, AI is being positioned as the next evolution of operations. But for many IT teams, AI still feels disconnected from the tools they rely on every day. Dashboards get smarter. Reports get faster. But workflows stay the same. Stuck in vendor silos or a CLI, IT teams have been looking for ways to bolt AI into workflows, but what often comes out is a Frankenstein-like web of APIs and MCP hosts. AI is meant to make life easier for IT teams – not make it more difficult.

Modern IT operations aren’t short on tools. Monitoring tools. Ticketing systems. Alerting platforms. Documentation repositories. Dashboards. Scripts. Runbooks. And yet, when something breaks, the workflow still looks strangely familiar: Somewhere along the way you’re asking yourself: Is the problem even here? This is the everyday friction of IT operations. Not the big outages. Its the constant small mysteries that take far longer to solve than they should.

Service Leadership, a leading company that works to measure IT and managed service provider (MSP) performance, defines the five levels of operational maturity for solution providers. Often referred to simply as operational maturity levels (OMLs), OMLs help managed service providers (MSPs) measure how consistently, intentionally, and effectively they run their businesses.