Every AIOps vendor conversation starts the same way: a slide showing a sophisticated, ML-correlated, self-healing operations pipeline. Almost no organization I've assessed is actually ready to use one. Before recommending any platform, I run teams through a four-stage maturity diagnostic — and it changes the conversation immediately.
Stage 1: Reactive
Alerts fire, humans triage manually, resolution depends entirely on who's on call and what they remember from last time. No correlation, no historical pattern matching. This is where most mid-sized IT operations teams actually live, regardless of what tooling they've purchased.
Stage 2: Proactive Monitoring
Thresholds are tuned, dashboards are clean, alerting is reasonably noise-free. Teams at this stage have usually invested well in tools like Dynatrace or Splunk — but correlation across tools and services is still manual, done in someone's head during a bridge call.
Stage 3: Correlated Operations
This is where AIOps platforms start to genuinely earn their cost. Signals from across the estate are correlated automatically, alert noise drops meaningfully, and incidents arrive at responders pre-grouped with likely root cause candidates rather than as a flood of individual pages.
Stage 4: Predictive & Self-Healing
The platform identifies degradation before it becomes an incident, and a defined subset of remediation actions execute automatically with human oversight. Very few organizations are genuinely here — and the ones that claim to be usually mean stage 3 with better marketing.
Buying a Stage 4 platform while operating at Stage 1 maturity doesn't skip stages — it just means you're paying for a Stage 4 tool to do Stage 1 work badly. Diagnose honestly before you procure.
How to Diagnose Your Own Stage
- Pull your last 10 P1 incidents. How many were caught by correlation versus a human noticing a pattern?
- Ask your on-call team how much of triage is "checking the same three dashboards" versus genuinely new information.
- Check whether your post-incident reviews ever change how alerting or correlation rules work — or just produce a document nobody references again.
On a recent enterprise engagement, this diagnostic revealed a team that had purchased a Stage 4-capable platform but was operating at Stage 1 — the tool sat mostly unused because the underlying telemetry and workflow integration work hadn't been done. We spent the first quarter on Stage 2-to-3 fundamentals before touching the advanced features, and that sequencing is what actually made the investment pay off.
The framework isn't about reaching Stage 4 as fast as possible. It's about matching your AIOps investment to your actual operational maturity, so each dollar spent compounds rather than sitting idle.