Building a Trustworthy Data Query Skill for Enterprise AI: Architecture and Best Practices
The article analyzes why directly connecting large language models to a data warehouse often fails to deliver reliable analytics, outlines common failure modes, and presents a structured Skill‑based architecture—including intent routing, parameter compilation, metric‑first querying, review, and governance—to ensure trustworthy enterprise data queries.
