AI Orchestration

AI orchestration is the coordination of multiple AI models, agents, and tools so they work as one governed system. It also covers the data sources and human checkpoints needed to complete multi-step workflows. An orchestration layer breaks a goal into subtasks, routes each one to the right agent or tool, and manages the shared context between them.

In business planning, orchestration extends AI-assisted planning from single tasks to complete planning workflows. A month-end cycle is a typical example: one agent pulls actuals, another refreshes the forecast, a third runs variance analysis, and a fourth drafts commentary. Finance reviews and approves the output before it's shared.

AI orchestration is different from agentic AI, which describes individual agents that reason and act toward a goal. Orchestration is the layer that sequences several agents, enforces permissions and guardrails, and escalates decisions to people. It works best in a connected planning environment, where every agent reads from the same data and business logic.