Model Routing is just a buzzword.
At PRO71 the term is only useful when it changes a real design or operating decision.
AI
Model Routing
Model routing is the logic that chooses which model should handle which request based on cost, speed, quality, risk, or policy constraints.
Definition
Model Routing is used by PRO71 as a practical term that helps enterprise teams make clearer decisions about platforms, knowledge systems, workflows, and operations.
In practical context
Model Routing matters when it changes scope, control, quality, or decision-making inside enterprise AI applications.
Why it matters
Model Routing becomes more useful when it is tied to one clear operating decision rather than explained as isolated jargon.
Common misconceptions
It matters only to technical teams.
It often affects buyers, operations, governance, and support as well.
FAQ
Questions teams ask before they start
What does Model Routing mean in practice?
Model Routing matters when it changes how an AI application is scoped, governed, implemented, or measured.
Why does PRO71 define Model Routing?
We define the term so teams can connect it to real operating decisions rather than broad technical language.