Lab AI maturity model: A roadmap from passive to active labs
This post is part of the AI lab notebook (AILN) series. In this blog, we introduce a lab AI maturity model and a practical roadmap from passive ELNs and shadow AI workarounds to active, governed lab workflows.
You can also read about experiment rework and ELN data findability, including why labs repeat experiments when prior work is hard to reuse, and shadow AI in labs, including how public generative AI tools create governance and record-integrity gaps.
Get the full research report here.
A lab AI maturity model helps organizations move from passive documentation and shadow AI workarounds to governed AI support inside scientific workflows. An AI lab notebook (AILN) is a third-generation ELN that embeds science-aware assistance inside governed workflows so reasoning and decisions can be captured with the experimental record.
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