Most companies still talk about the model as if one model is the product. That framing is already outdated.
Production AI increasingly looks like a network. Retrieval, routing, prompts, memory, tool calls, fallback logic, approval rules, and different models for different jobs. Once the stack looks like that, orchestration becomes a first-class service category.
Orchestration decides how work moves through the system. That includes choosing the right model for the task, passing context between steps, coordinating tool use, handling retries and fallbacks, escalating to humans when needed, and logging the full trace for review.
This is why orchestration matters so much in agentic systems. Without it, the stack becomes expensive improvisation.
Building orchestration internally sounds appealing until you realize it touches almost everything. Costs, governance, performance, user experience, and maintainability. That creates strong incentives for a managed layer that can standardize patterns across teams and providers. Buyers will increasingly want one control plane for model routing, workflow logic, approvals, and observability instead of bespoke chains spread across products.
Orchestration as a Service will sit above MaaS, IaaS, RAG, and agents. It becomes the meta-layer that turns a collection of AI capabilities into a coherent service system. The better it gets, the less buyers will care which individual model sits underneath any one step. They will care that the workflow completes reliably at the right cost and with the right guardrails.
Models become components. Orchestration becomes the product.