Challenge + Opportunity

A captive finance subsidiary of a top-five global automaker sought to introduce customer-facing Generative AI (GenAI) solutions. These solutions could significantly improve customer experiences, but the organization's AI governance board required evidence that the development team had performed its due diligence regarding critical risks. The provider of auto finance solutions needed to evaluate and monitor metrics that demonstrate the mitigation of GenAI's native biases, protect the brand's reputation, and comply with regulatory requirements before and after full deployment.

Solution Highlights

The GenAI Integrity Accelerator, a unique solution from Perficient, is designed to bridge this gap with structured, scalable AI evaluation. It allows for rigorous, repeatable testing throughout the entire software development lifecycle, ensuring that applications meet ethical, regulatory, and performance standards.

By combining both custom evaluation criteria and industry-standard metrics, such as bias, hallucination, and others commonly used in LLM-as-a-judge tools, the GenAI Integrity Accelerator enabled our client to tailor assessments to the specific needs and expectations of each AI use case. Unlike rigid, one-size-fits-all products, the accelerator helps teams determine which models, evaluation frameworks, and metrics are most reliable and meaningful, and then use those metrics for analytics and long-term reporting in support of continuous improvement.

Key Differentiators:

• Validation of LLM-as-a-judge reliability
• More informed cycles for prompt tuning and document chunking iterations
• Enhanced A/B testing and production monitoring
• Simplified evaluation data management through experiment evaluations or CI/CD pipelines