PerformanceReviewAssistant: AI Calibration Tool
Helps managers write consistent, legally-safe performance reviews by flagging bias patterns and comparing language against peer reviews in real-time.
The Problem
Managers spend 4-6 hours writing annual reviews with wildly inconsistent quality and tone. Companies face legal liability when review language is vague, emotional, or reveals unconscious bias. HR has no way to audit consistency across teams before reviews go live.
Target Audience
Mid-market companies (500-5000 employees) with structured review cycles, especially those in high-regulation industries (finance, healthcare, tech with legal concerns).
Why Now?
Performance review lawsuits increased 40% in last 2 years; companies are desperate to reduce liability without hiring consultants. LLMs can now reliably detect gendered language and vague performance language at scale.
What's Missing
Existing HRIS platforms treat reviews as a database table, not a quality/safety problem. Managers get zero real-time feedback while writing. No tool sits between draft and submission to catch issues.
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