The product provides a managed console for prompt management, model routing, retrieval configuration, vector-store connectors, and tool-calling workflow orchestration. Teams can deploy agent experiences against internal systems, test retrieval quality, monitor failures, and tune workflows without rebuilding core AI infrastructure for each use case.

Multiple companies are moving from LLM prototypes to deployed business-process copilots and conversational assistants. The repeated demand for RAG, AI agents, workflow automation, and operational LLM infrastructure suggests teams need tooling that productizes this stack.