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Lab · diagnostic
Ten questions across data, infrastructure, process, talent, and ROI clarity. The output tells you whether to pilot, scale, or fix the foundation first.
Readiness engine
Surface ⇄ System
questions
10
dimensions
5
email gate
none
data kept
browser
honest score
No inflated maturity language. No signup wall. The diagnostic only works if the answers are blunt.
how to use it
Most AI failures are sequencing failures. This frames the first move before budget gets burned.
01
Score the five areas that determine if AI will survive real use.
02
Identify whether data, workflow, ownership, or ROI clarity is the constraint.
03
Route to the right audit, pilot, agent, or operating-system fix.
04
Move only when the system has acceptance criteria, evals, and a human owner.