When you suspect a workplace policy is enforced differently depending on who you are or which team you're on, comparing documented instances reveals whether the unevenness is systemic or coincidental. This matters because consistent unequal enforcement can be evidence of discrimination and gives you concrete examples if you need to escalate the issue.
Selective enforcement pattern recognition is the use of AI to analyze how workplace rules and policies are applied across different employees, identifying cases where the same behavior results in different consequences based on protected characteristics or favoritism.
By feeding documentation of disciplinary actions and policy citations into an AI tool, employees can surface statistically inconsistent treatment that supports discrimination or retaliation claims in HR or legal settings.
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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