This article outlines how to create a Production Engineer agent that quickly identifies and contextualizes service failures in complex systems. It emphasizes the importance of structured memory and effective communication in avoiding confusion during incidents. The design relies on GraphRAG for managing dependencies and historical context.

Data and AI leaders are prioritizing three key challenges for 2025: enhancing team productivity through AI adoption, ensuring the reliability of AI applications, and driving overall AI adoption within organizations. Addressing these issues involves operationalizing incident management, creating AI-ready data, and fostering trust in AI systems to ensure their successful integration into business processes.