Fast Routing Layer
A fixed-scope offer, 6 to 8 weeks
A small, fast decision layer in front of your LLM calls that routes each request to the right model, tool, or agent.
Who it is for: Teams whose AI stack uses a large model to decide what to do with each request, and who are paying for it in latency and cost.
Fixed scope
- Labelled routing dataset from your traffic
- Router trained and deployed in your environment
- Confidence threshold with fallback to the larger model
- Benchmark: p50/p95 latency, accuracy vs. baseline, cost per million decisions
What you get
- Deployed router
- Evaluation harness and benchmark report
- Retraining runbook
Not included
- Rebuilding downstream agents or models
Timeline: 6 to 8 weeks
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Weeks 1 to 2
Collect and label routing decisions; set the baseline.
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Weeks 3 to 5
Train, benchmark, and deploy the router behind a flag.
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Weeks 6 to 8
Shadow traffic, tune thresholds, cut over, hand over.
Case study
Class 1 Decider: A Fast Router for LLM RequestsA small, very fast decision layer in front of LLM calls that sends each request to the right model, tool, or agent without paying a large model to decide.
Start with one workflow
Book a free 30-minute AI audit. We look at one workflow with you and tell you whether it can reach production in 6 to 8 weeks. No commitment, just 30 minutes with an engineer.
Book a free AI audit