Tools

Scope the work before you commit budget.

Three free, self-serve tools. Model what production AI costs. Check whether your stack is ready to ship it. Find the system shape that fits your problem.

Book a Ship Audit →

Calculator

AI Cost Calculator

What AI costs to run in production.

Model list prices are the tip of the iceberg. Retries and context growth routinely push real production cost to 5–20× the per-token rate on the pricing page. RAGRetrieval-Augmented Generation (RAG) retrieves relevant passages at query time and feeds them into an LLM's context. overhead and eval runs add more on top. 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 →

Scorecard

AI Readiness Scorecard

A fast, honest read on whether your data, infra, and process are ready to ship AI.

Answer a short set of questions and get a maturity tier. We also name your weakest dimension, the gap most likely to sink a pilot before it reaches production.

Your maturity tier, plus the weakest dimension you should close first.

Take the scorecard →

Picker

Architecture Picker

Which system shape to build, from seven questions about the problem.

Most builds are one of six reference architectures plus a second one bolted on. Most of the cost of getting it wrong shows up after launch. Answer seven questions about the ask and the input it runs on. One of them asks which failure you can't survive. You get a primary architecture and a likely bolt-on. The build brief is pulled from what actually breaks in each one.

A primary architecture, a likely bolt-on, and the parts teams skip and regret.

Pick your architecture →

Next step

All three give you a self-serve read. When you're ready for a written, board-ready answer, book the diagnostic.

Book a Ship Audit →