Checklists

Each checklist takes a few minutes. Every answer comes with guidance and a link to the library article that covers it, so the checklists also work as a way into the library by question.

AI Readiness Assessment Ten questions, five minutes. Find out where your organisation stands on AI (goals, data, sensitivity, ownership), with guidance on each answer. (10 questions.)

Data Maturity Checklist Fourteen questions on storage, third-party services, reproducibility, ownership, governance and use, with guidance on each answer. (14 questions.)

ML Measurement Checklist Seventeen questions on whether an ML project can be measured: ground truth, scoring, the deployment gate, retraining and ownership, with guidance on each answer. (17 questions.)

Do You Need Private Inference? Eight questions on regulation, exposure, training risk, jurisdiction and usage, with a recommendation on how to deploy AI on sensitive data. (8 questions.)

RAG Knowledge Base Checklist Twelve questions on whether a RAG knowledge base is the right build and whether you are ready for it, with guidance on each answer. (12 questions.)