Many Site Reliability Engineering (SRE) teams face challenges with prolonged mean time to recovery (MTTR) due to the time-intensive process of navigating telemetry data. Observe's AI SRE aims to alleviate this by serving as an AI-driven partner that correlates telemetry signals and proposes real-time remediations, thereby streamlining the troubleshooting process. Integrated within the Observe platform, AI SRE automates the correlation of logs, metrics, and traces from the O11y Data Lake using the O11y Knowledge Graph, enabling faster root cause identification and action recommendations. It features a user-friendly chat interface for intuitive querying and offers business context to prioritize issues based on customer and business impact. Beyond diagnostics, the AI SRE suggests fixes, helping to resolve issues quickly and setting up monitors to prevent recurrence. Operating natively on Observe's data lake, it offers cost-efficient observability without the overhead of data duplication or cross-platform joins. Additionally, enterprises can customize workflows using Observe's MCP Server, ensuring scalability and integration with existing tools while maintaining robust privacy and compliance controls.