The public PROMCYCLE AI site describes not an off-the-shelf platform but four testable stages: an initial diagnostic, a task passport, a line audit and a shadow Proof of Value. A pilot begins with one production loss—such as downtime, lower yield, or excess raw-material or energy use—then defines the baseline, available signals, a specialist action and a stop/go criterion. The confirmed project stage is readiness for industry interviews and selection of a pilot line. No confidential process data are required for the first diagnostic. The practical purpose is to connect a model warning to a verifiable production action and an economic KPI. In shadow mode, AI does not control the process: technologists, quality staff and engineers review its output. Published scenarios are reference architectures, not confirmed client results. Economic impact, warning accuracy and transferability to a specific line remain hypotheses until a separate pilot on new data.
Project review
PROMCYCLE AI: testing AI impact before changing production
The public PROMCYCLE AI site describes not an off-the-shelf platform but four testable stages: an initial diagnostic, a task passport, a line audit and a shadow Proof of Value. A pilot begins with one production loss—such as downtime, lower yield, or excess raw-material or energy use—then defines the baseline, available signals, a specialist action and a stop/go criterion. The confirmed project stage is readiness for industry interviews and selection of a pilot line. No confidential process data are required for the first diagnostic. The practical purpose is to connect a model warning to a verifiable production action and an economic KPI. In shadow mode, AI does not control the process: technologists, quality staff and engineers review its output. Published scenarios are reference architectures, not confirmed client results. Economic impact, warning accuracy and transferability to a specific line remain hypotheses until a separate pilot on new data.