AI Workflow Cost Estimator
Most agencies hide the ongoing cost of AI. We don't. Pick a workflow, set the volume, see what it would actually cost to run per month — including LLM calls, third-party APIs, vector storage, and our Care fee.
Built for honest budgeting. Every estimate runs in your browser — we never see your numbers unless you send them to us.
How it works
LLM API costs
Calculated as (volume × avg input tokens × $/M input) + (volume × avg output tokens × $/M output). Anthropic models include a prompt-cache slider — cached input is roughly 90% cheaper than uncached.
Third-party API costs
Per-request multipliers for things like VIN decoders, SMS, voice, and transcription. RAG workflows include a fixed monthly cost for vector database storage (Pinecone serverless minimum is ~$70/mo).
Care tier
Recommended automatically based on workflow complexity, volume, memory, and whether voice is involved. Care covers Stratus's monitoring, prompt tuning, model upgrades, and small fixes — distinct from API spend (which is always pass-through).
Safety buffer
The high end of the monthly invoice adds a 30% buffer on API spend. Most workflows run below the high end; this is the ceiling we'd quote in a real proposal so you aren't surprised.
What this isn't
A binding quote. It's a directional tool. Your actual quote depends on scope, integrations, and exact usage patterns — which is what we figure out in the discovery call. The estimator gets you 80% of the way there in five minutes.
Next
Bring your estimate to a discovery call. We'll pressure-test the assumptions, scope the build, and send you a firm proposal within two business days.