PFA Executive Guide Assessing Predictive Feasibility

Using examples from vibration monitoring, telemetry systems, battery degradation, and predictive maintenance environments, the guide illustrates why many predictive AI systems fail operationally despite apparently strong validation performance. The framework distinguishes between:• operationally viable predictive signals• partially recoverable predictive structure• and structurally non-viable predictive systems. This Executive Guide is intended for:• predictive maintenance teams• reliability engineers• industrial AI deployment teams• operational analytics groups• and technical decision-makers evaluating predictive AI deployment viability. A separate companion technical whitepaper titled: “A Practical Framework for Assessing Predictive Feasibility in Industrial Systems” https://doi.org/10.5281/zenodo.20159329 contains the full technical methodology, robustness analysis, datasets, representational evaluation framework, and supporting validation studies.