Author: Vinay Prasanth KammaExplanation of the Workday SEAL (Scoring, Evaluation, and Analysis of LLMs) Framework, which is presented as a specialized system designed for the trustworthy governance and evaluation of generative artificial intelligence within an enterprise setting.
The document emphasizes that while generative AI promises significant business value, it introduces substantial risks, including security vulnerabilities, bias, and performance drift, which existing governance models cannot adequately handle.
The SEAL framework addresses these issues through a structured, three-phase implementation process focusing on creating high-quality, domain-specific "ground truth" datasets, executing rigorous assessments using various metrics, and ensuring continuous monitoring and reporting to maintain long-term reliability.
Ultimately, the framework is presented as a strategic enabler that moves AI governance from a reactive, compliance-driven function to a proactive partner that accelerates innovation by establishing clear, Secure, Explainable, Accountable, and Legally compliant guardrails for AI deployment.