AIRoute
AI spend intelligence

Find wasted AI API spend before you reroute production traffic.

AIRoute analyzes model usage, cost, latency, retry patterns, and workload metadata to show where OpenAI, Anthropic, Gemini, and other AI API spend can move cheaper without exposing prompts by default.

0prompts required for first-pass audit
48htarget sample savings report
28-43%example savings range to validate
Spend Audit Preview
Monthly AI spend$42.6k
Waste flagged$13.8k
Safe workloads7

Cost by workload

Support AI $14.2k
RAG prep $9.7k
Embeddings $6.9k
Retries $4.1k

Findings

Overpowered model laneClassification workload can test cheaper routes.

Retry loop spikeTwo API keys generated duplicate spend.

Batch candidateNightly summaries can leave realtime pricing.

No-prompt audit

Start with invoices, usage exports, token counts, model names, API keys, timestamps, latency, and errors.

Savings map

Group spend by product, team, model, provider, and workload so cost leaks become visible.

Observe mode

Add an OpenAI-compatible gateway later to log metadata while leaving production responses unchanged.

Controlled routing

Only route approved low-risk workloads after benchmarks prove quality, latency, and fallback behavior.