Two free, self-serve tools: model what production AI actually costs, and get an honest read on whether your stack is ready to ship it.
Book a Ship Audit →What AI actually costs to run in production — not the sticker price.
Model list prices are the tip of the iceberg. Retries, context growth, RAG overhead, and eval runs routinely push real production cost to 5–20× the per-token rate on the pricing page. Model your own usage and see where the multiplier comes from.
A production cost estimate you can defend to finance, with the assumptions shown.
Model your cost →A fast, honest read on whether your data, infra, and process are ready to ship AI.
Answer a short set of questions across data, infrastructure, and process, and get a maturity tier plus your weakest dimension named — the gap most likely to sink a pilot before it reaches production.
A maturity tier, your weakest dimension, and a clear next step.
Take the scorecard →Both tools give you a self-serve read. When you're ready for a written, board-ready answer, book the diagnostic.