Automated Data Validation: How Hex's Data Team Did It

This post details the development and implementation of an AI audit agent within Hex's data team. It describes the agent's capabilities, including proactive model suggestion, ensuring fresh development schemas, applying noise reduction (timestamp truncation, float rounding), and handling large model comparisons by filtering prod data to match dev schema date ranges. The agent is designed to be a collaborative partner, pausing for user feedback and flagging discrepancies for review, moving beyond simple technical execution to include interpretation and decision-making.