AI in IT operations: hype vs genuine help
Every operations tool now claims to be powered by AI. Some of that is genuine progress. Much of it is a rebranded threshold alert. Knowing the difference saves money and disappointment.
Where AI genuinely helps
- Noise reduction. Correlating a storm of alerts into a single, root-caused incident is a real, valuable win.
- Anomaly detection. Learning normal behaviour and flagging the genuinely unusual beats static thresholds for dynamic systems.
- Capacity forecasting. Predicting when you will run out of headroom, before you do, is worth real money.
Where it is still oversold
Fully autonomous remediation of complex, novel failures remains largely aspirational. The judgement of an experienced engineer โ the sense that "this looks wrong even though every metric is green" โ is not yet replaceable. The best operations blend machine speed with human judgement, rather than pretending either can work alone.
Our stance: use AI to handle the volume so humans can handle the nuance. Automate the toil; keep people on the decisions that carry real risk.
The goal is not an operations centre with no people. It is one where people spend their time on the problems that actually deserve a human.