Automated Diagnosis Isn't Automated Understanding: What Postmortems Teach Us About Building Trustworthy Incident AI
DevOps.com, Wednesday, August 26th, 2026
Alert correlation is not diagnosis; trustworthy incident AI needs causal reasoning and good postmortem data.
Most AI-driven incident tools are good at grouping related alerts but poor at explaining causation, conflating correlation with diagnosis. Real automated diagnosis requires causal reasoning, current dependency graphs, and a willingness to admit uncertainty rather than guess confidently.
Organizations can build more trustworthy systems by treating postmortems as critical training data and documenting clear causal chains that feed models.
Non-deterministic systems such as LLMs add difficulty because they lack the repeatable behavior traditional monitoring assumes.
The conclusion is that incident discipline and postmortem quality are foundational investments before automation can pay off.