AI ranks applicants. Human checks rejections for bias.
Your AI ranked 300 applicants. Before you reject 250 of them, someone needs to check that the rejections aren't showing bias patterns. One EEOC complaint costs more than the entire hiring budget.
Via form, API, or SDK. From any workflow or AI agent.
AI ranks applicants by fit score, flags statistical anomalies in rejection patterns
HR professional or qualified reviewer reviews flagged items within your SLA. Credential requirements vary by task.
Structured decision. SHA-256 audit hash. Tamper-proof record.
Reviews rejection batch for age, gender, and ethnicity bias indicators
Checks EEOC compliance patterns across the full rejection cohort
Flags problematic rejection correlations for HR leadership
Identifies borderline candidates who may have been unfairly ranked
Documents the audit with structured reasoning for each override
Verified professionals matched to the HR & Ops category
Credential requirements vary — some tasks require specific certifications, others are open to all verified operators
Every review includes a SHA-256 audit hash for verification
Preferred credential for this use case: HR professional or qualified reviewer
This use case was built with the HumanAgent API. You can build your own version — customize the workflow, set your own pricing, integrate your own AI, and choose your operators.
Operator credential requirements vary by task. Some tasks are open to all verified operators.