Live product

AI Readiness Check

Ten questions that tell you whether a workflow is ready for AI, and what to fix first

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The problem, the build, the result

01
The problem

Many AI pilots stall because the workflow was never ready: no measured cost, no owner, no data access, no test cases and no safe way to be wrong. Teams find that out after the money is spent.

02
How it works

A ten-question check built from the same criteria we use on discovery calls. Each answer feeds a simple score, and every no comes with the specific step that closes the gap. It runs in your browser with no model and no data sent anywhere.

03
What changes

A score and an ordered list of gaps to close before any build starts, so the first AI project is chosen on evidence rather than enthusiasm.

Who it is for

Operations and IT leaders choosing which workflow to automate first, and anyone who has been asked to justify an AI project before it begins.

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