Automated systems can learn to flag workplace policy violations without being explicitly trained on every possible infraction, instead recognizing patterns that match general policy categories. This matters because human review remains overwhelmed by the volume of communications and behaviors that need monitoring, yet most violations follow predictable logic once you understand your organization's core rules.
Zero-shot classification is an AI method that categorizes text into predefined labels without needing examples it was specifically trained on. You can use it to scan your written incident notes and automatically flag whether a described behavior may constitute harassment, retaliation, discrimination, or a code-of-conduct violation.
This technique removes the emotional burden of deciding how to categorize what happened to you. By letting an AI model map your descriptions to recognized policy categories, you arrive at HR conversations with clearer, more defensible framing of your workplace experiences.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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