The authors detail a method for determining whether texts are human-written or AI-generated. The approach combines computational analysis, linguistic expertise, and a weighting system to provide a probability assessment rather than a binary classification. This nuanced approach is valuable in professional contexts in which content authenticity has significant implications for quality assurance, compliance, or intellectual property.