AI Orchestration

AI orchestration is the architecture and control layer that connects multiple AI models, agents, tools, APIs, data sources, and human approvals into a reliable workflow. Instead of sending one prompt to one model, orchestration decides which agent handles each step, which data can be used, when tools are called, how outputs are evaluated, and how failures are retried or rolled back. In AI coding environments, orchestration may analyze requirements, split tickets, generate code, run tests, enforce security rules, and trigger review loops. The discipline includes state management, permissions, logging, evaluations, cost controls, model routing, and fallback behavior. Strong AI orchestration turns agentic systems from impressive demos into repeatable production systems. It gives enterprises a way to scale automation without losing visibility, governance, or accountability across the workflow.