Match model to task
Use stronger models for reasoning and faster models for routine generation.
AI Model Router
Use the right model for every AI step
Route each AI task to the model that fits the work. Balance quality, latency, and cost without hard-coding one model for every workflow.
Core Capabilities
What this feature helps your team do
Tune speed and quality
Design AI workflows around the tradeoffs each step actually needs.
Control spend
Avoid sending every task to the most expensive model by default.
AI operations
Model choice should be part of workflow design
Different AI tasks have different needs. Routing lets teams apply the right level of intelligence where it matters most.
- Task-aware routing
- Cost-conscious model choices
- Provider flexibility
- Workflow-level AI governance
How It Works
A practical path from setup to production
Define the AI task
Identify whether the step needs reasoning, extraction, writing, classification, or summarization.
Choose routing rules
Set how the workflow selects a model for that task.
Run and measure
Watch outcomes, cost, and performance.
Tune over time
Adjust routing as model quality, pricing, and workload needs change.
Common Use Cases
Where teams use AI Model Router
Support reply drafting
Document classification
Lead scoring
Content enrichment
AI Model Router questions
Clear answers about how this capability fits into real workflow automation.
A router helps match each AI step with the model that best fits quality, speed, and cost requirements.
Yes. A workflow can use different models for different AI tasks.
Yes. Routine tasks can use lower-cost models while complex tasks can use stronger models where needed.
Yes. You can update routing as your workflows and model preferences evolve.
Automate Every Job