Agents operating in a demonstration setting require consistent, regulated workflows before transitioning to a production environment. Anaconda AI Orchestration transforms agent and AI initiatives into accountable workflows that seamlessly progress from development to production across various platforms, including cloud, hybrid, on-premises, and sovereign settings. It effectively monitors models, lineage, artifacts, resources, and costs throughout the process. This orchestration is grounded in Metaflow, a framework developed at Netflix. Additionally, Enkrypt AI from Anaconda conducts red teaming on agents and their MCP connections prior to deployment, manages agent access to tools and data through established policies, and enforces runtime guardrails. Developers utilize Kilo by Anaconda to create the agents, leveraging a library of over 500 models and reliable MCPs sourced from AI Artifacts.