
Technology
Performs a distinct technical capability.
LLM · Machine learning · Computer visionA card describes what something contributes to the work. The role may change from one use case to another, but the distinction keeps the conversation practical.
Architectures and digital systems remain distinct labels on the individual cards.
Performs a distinct technical capability.
LLM · Machine learning · Computer vision
Combines technologies or supports a recognizable workflow.
RAG · Digital twin · MES
Provides the sensing, data, infrastructure, or connectivity needed.
Sensors · Cloud computingSearch the library or combine the filters to understand what each card does, where it helps, and how ready it is to create value.
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Try describing the task more broadly, or clear the filters and explore the work patterns.
This is not a technical S-curve. It is a practical view of whether organizations can move from interesting demonstrations to governed, repeatable value.
New capability with limited proof of repeatable organizational value.
Credible examples exist, but implementation patterns are still developing.
Multiple organizations are expanding use, with repeatability still uneven.
Proven patterns, skills, controls, and suppliers make scaled value attainable.
Each stage is a qualitative editorial assessment stored with its rationale in Airtable. It should be reviewed as implementation evidence and experience develop.
Each technology card can connect to the use cases, processes, risks, controls, and enablers in the wider Applied AI library.
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