Moving from experimental AI to enterprise-ready agents requires more than powerful models—it demands system design that delivers reliable, governed outcomes. This session breaks down the essential characteristics of enterprise AI agents, from data grounding and orchestration to observability, cost control, and system connectivity. You’ll learn how components like RAG, MCP, memory, and multi-agent orchestration come together to bridge the gap between probabilistic AI outputs and deterministic enterprise needs. The session also demonstrates how SAS Retrieval Agent Manager enables these patterns in real-world decisioning workflows.
Presenter: Saurabh Mishra, SAS
