// ai engineering maturity assessment
How mature is your AI engineering — really?
Open any box, answer 2–4 quick questions, and watch your picture build. Five boxes unlock your report; the rest make it sharper.
~8 minutesany orderfree report
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// the maturity model
Five levels. Each one tells you what to fix next.
- level 1Ad-hocIndividuals use AI on their own. No shared practice, little visibility of cost or risk.
- level 2ExperimentingSome teams have habits and favourite tools. Results vary by person; cost and risk are mostly invisible.
- level 3StandardisingAgreed tools and practices exist. Visibility is partial and knowledge still leaks between teams.
- level 4GovernedCentral policy, traceability, approval gates and cost attribution are in place.
- level 5CompoundingWorkflows improve run on run. Knowledge, evaluation and tool changes are managed as one system.
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