AI agents are quickly moving from demos into engineering workflows. For site reliability engineering teams, the appeal is obvious: an agent that can read alerts, inspect dashboards, query logs, correlate deploys, and summarize a likely root cause could reduce the painful first minutes of incident response.But SRE work is different from ordinary automation. A bad suggestion in a chat window is inconvenient. A bad action in production can create an outage, delete data, or make recovery harder.