AI MODEL ROUTING
Send every request to the right intelligence.
AI model routing matches each enterprise request to the model or combination of models and other intelligence that best fits the work.
The short answer
Instead of using one default model for everything, Olive considers the request, applies policy, selects a route, evaluates the result, and records what happened.
What matters in practice.
Enterprise AI decisions depend on context, not just the name of a model.
Task
What the request needs to accomplish
Data
What information the request contains
Policy
What the enterprise allows
Quality
What standard the result must meet
Privacy
What can leave the enterprise boundary
Latency
How quickly the result is needed
Cost
What the request should cost
Outcome history
What has worked for similar requests
IN PRACTICE
How the idea applies to enterprise work.
Routine extraction
A lower-cost model can handle structured work when it meets the required quality threshold.
Restricted customer analysis
Enterprise search and an in-perimeter model can work together while keeping sensitive data within the approved boundary.
Executive strategy
Search, forecasting, and frontier reasoning can combine when a higher-stakes result needs multiple capabilities.
COMMON QUESTIONS
AI Model Routing, explained.
What is AI model routing?
AI model routing selects the model or combination of intelligence that best fits each request.
Why does an enterprise need model routing?
Different workloads have different quality, privacy, latency, and cost requirements.
Does model routing replace existing models?
No. It coordinates the models and intelligence systems an organization already uses.
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