An introduction to Industrialized AI and the application of manufacturing process control to cognitive work.

A one-minute introduction to Industrialized AI: applying manufacturing principles to control variable AI output and expand what businesses can deliver.

The business case for Industrialized AI: applying manufacturing principles to control variable AI output and expand what businesses can deliver.

See how an AI-generated vulnerability report can be checked, corrected, and checked again before a team acts on it.

How Industrialized AI composes accepted products, shares reusable parts, and connects production pipelines into factories.

Producing products at the desired cost, speed, and quality.

The inputs, work, and recorded outputs of manufacture, inspection, and repair, and the deterministic pipeline which connects them.

Run a complete manufacture, inspect, repair, and release loop, then inspect the code and evidence it leaves behind.

Work produced with an LLM should come with a receipt: a record of what was checked, the supporting evidence and anything left unresolved.

Follow an AI-assisted report from its original request through the checks recorded for the person receiving it.