AI Harness for Business Intelligence Systems

This document is a technical report that outlines the essential components and requirements for an effective AI harness in business intelligence (BI) systems. It begins by addressing the common dissatisfaction among enterprise BI leaders regarding AI performance, emphasizing that the issue lies not in the intelligence of the models but in the surrounding infrastructure. The report details the anatomy of a great AI harness, which includes several key functions: initiating user queries, planning responses, executing tasks through external tools, validating outputs, and formatting responses for user interfaces. Furthermore, it describes the necessary capabilities that a BI harness must provide to enhance the performance of large language models (LLMs), such as certified reports, semantic models, proactive monitoring of key performance indicators (KPIs), and continuous engagement with users. The report concludes by contrasting two approaches to BI tool agents, highlighting critical gaps and proposing a comprehensive solution through Metric Insights Concierge, which aims to improve user trust and experience.