Case Studies

!The Problem

Company X was using AI screening tools without proper bias audits. Initial audit found 3 areas of concern: gender bias in keyword matching, age discrimination in filtering, and inadequate documentation.

The Solution

• Comprehensive AI tool audit across all hiring systems
• Bias detection analysis on 6 categories
• Expert human review and validation
• Documentation and compliance report generation
• Public disclosure preparation

The Results

• 100% compliant in 14 days
• $850,000 in potential fines avoided
• Passed follow-up audit with zero violations
• Now using continuous monitoring

!The Problem

A fast-growing FinTech startup was about to launch their AI-powered hiring platform. They needed to ensure compliance before going live to avoid regulatory issues.

The Solution

• Pre-launch bias audit of AI hiring algorithms
• Testing across diverse candidate pools
• Algorithm fairness validation
• Compliance documentation for investors
• Ongoing monitoring setup

The Results

• Launched with full LL144 compliance
• Avoided potential $125,000 in first-year fines
• Gained competitive advantage with compliance certification
• Secured Series B funding with compliance as differentiator

!The Problem

A major healthcare provider needed to audit over 10,000 AI-assisted hiring decisions made over the past year. They faced potential class-action exposure and regulatory scrutiny.

The Solution

• Bulk analysis of historical hiring data
• Statistical bias detection across all protected categories
• Identification of systemic issues in AI screening
• Remediation recommendations
• Comprehensive audit trail for legal protection

The Results

• Identified and corrected 3 bias patterns
• $2.1M in potential lawsuit exposure mitigated
• Full documentation for regulatory defense
• Implemented real-time monitoring for future compliance