Executive Summary In today’s complex cloud and microservices-based systems, it’s no surprise that things break. While we’ve made huge strides in detecting issues quickly with modern observability tools, getting to the actual root of a problem — what really caused the incident — is still a tough, manual, and time-consuming task. That’s where large language models (LLMs) step in. These AI models are trained to understand logs, alerts, documentation, and natural language — all of which are crucial during incidents. By tapping into the power of LLMs, teams can significantly speed up root cause analysis (RCA), reduce downtime, and even lay the foundation for self-healing systems.