How to Prepare Your Business Data for AI Agents That Actually Deliver

Most businesses deploying AI agents skip the step that matters most: preparing the data underneath. This guide covers five concrete steps to get your data ready, from auditing and inventorying sources to building a validated semantic layer, enforcing automated quality standards, configuring access controls, and establishing feedback loops that keep agents accurate as your data environment evolves. Whether you are working with Microsoft Fabric or another platform, these steps apply across any agentic deployment and give your organization the foundation needed to turn AI agent investment into reliable, auditable business outcomes.