Building an AI Operations Engine

Saranya Vemuri outlines a three-phase framework for an AI-augmented Technical Operations engine. The system uses LLM agents to parse engineering artifacts, a vector database for real-time health tracking, and predictive models to flag risks. This shifts organizations from manual data collection to autonomous operational intelligence, reducing budget variance below 5%.