Model routing vs workflow routing: what AI coding teams actually need
Model routing selects which model handles a task. That is a useful capability. But it is only one layer of a larger decision. Workflow routing decides the full path a task takes: what context it receives, which tools are available, what policies apply, whether proof is required, and only then, which model.
What model routing does
Model routing addresses the question: which AI model or provider should handle this task? It can be rule-based (route code tasks to this model, route summarization to that one), cost-based (route to cheaper models when the task is simple), or capability-based (route complex reasoning to models trained for it).
Model routing is genuinely useful. It reduces cost by avoiding expensive models for routine work. It improves quality by matching task types to model strengths. It adds flexibility by allowing multiple providers.
But model routing does not decide what context the model receives. It does not decide which tools the model can use. It does not apply policies to sensitive actions. It does not determine whether the output needs to be validated before handoff. These are separate decisions, and they often need to happen before the model selection.
What workflow routing adds
Workflow routing is the layer above model routing. It answers a broader question: what is the right path for this task, end to end?
Why order matters
The order of these decisions matters because later decisions depend on earlier ones. If the context is wrong, the model will produce wrong output regardless of which model was selected. If the tool exposure is too broad, the model has access to capabilities the task does not require. If policies are not applied before a sensitive action, the action may run before the approval decision is made.
Model routing that happens without the upstream decisions already made is routing a model into a task without the full operating parameters. The model does its best with what it has. That is often not enough.
The sensitive action problem
One of the most important cases where workflow routing differs from model routing is sensitive actions. Running a shell command. Writing to a production configuration. Accessing external APIs. Deleting files.
These actions often require a policy decision that is independent of which model is being used. An expensive model that runs a sensitive action without policy enforcement is not safer than a cheap model doing the same. The routing decision that matters is not the model. It is whether the action is allowed, in this context, at this point in the task.
Workflow routing handles this by applying policy checks at the right point in the task path. Model routing cannot, because it is only deciding the model, not the policy.
Proof as a routing output
Proof requirements are another dimension that model routing does not address. Some tasks produce outputs that need to be validated before they are trusted. Some outputs need an evidence receipt attached so they can be reviewed or handed off. Some outputs need to be logged with a confidence indicator.
These requirements should be determined by the task type and risk level, not by which model handled the task. A task that requires proof needs proof whether it was handled by an expensive model or a cheap one.
Workflow routing incorporates proof requirements as part of the task path. The model selection happens in the middle of this path, not at the end of it.
How Avorelo helps
Avorelo routes workflows, not just models. It determines context, tool exposure, policy checks, and proof requirements as part of the task path. Model selection happens within this framework, informed by task type and risk level, rather than as a standalone decision.
External model routing providers can still be used as adapters within this framework. Avorelo is not a model provider. It is the layer that decides what the model receives, what it can do, and what happens with its output.