Framework for Evaluating AI Quality and Value

This document is a technical report that outlines a framework for evaluating the quality and value of AI systems in enterprise environments. It emphasizes the need for a shared evaluation method to assess whether AI contributes effectively to organizational goals, such as reducing friction and enhancing output quality. The framework evaluates AI across four primary dimensions: Speed, Accuracy, Trust, and Cost (SATC). Speed focuses on the efficiency of AI in completing tasks, while Accuracy assesses the quality of AI responses. Trust encompasses governance and transparency, ensuring that AI systems operate securely and reliably. Cost evaluates the financial implications of AI usage, considering different pricing models and their impact on organizational value. By applying this framework, organizations can make informed decisions about AI investments, identify areas for improvement, and connect AI adoption to measurable business outcomes, ultimately enhancing productivity and workflow efficiency.