Site reliability engineers (SREs) often find themselves bogged down by reactive tasks such as triaging incidents and documenting events, which detracts from their primary role of developing resilient systems. With the increasing complexity of modern architectures, SREs risk burnout and reduced innovation due to repetitive incident response work. The integration of AI agents offers a solution by automating routine tasks and providing real-time insights, allowing SREs to focus on resolving root causes and designing robust systems. PagerDuty's survey highlights the growing trust in AI agents, with 81% of executives relying on them during crises. By adopting a three-tiered model of agent and human collaboration, organizations can improve operational resilience and efficiency. For instance, agents can autonomously handle well-understood issues, collaborate on partially understood ones, and support humans on novel challenges. PagerDuty enhances this dynamic with AI agents that manage incident lifecycles, thus empowering SREs to concentrate on strategic initiatives, resulting in smoother operations and increased innovation.