Most agent failures are context failures. This session examines how to design grounding and memory strategies that support enterprise reliability, including when to use short-term conversation context, durable memory, structured knowledge sources, and retrieval pipelines backed by Azure AI Services.

We will cover retrieval tradeoffs, freshness problems, tenant isolation, and how to prevent agents from pulling too much irrelevant context into the decision loop. Attendees will leave with practical patterns for building context systems that improve answer quality and task completion without turning every request into an expensive, opaque retrieval stack.