Why Enterprise AI Fails: Fragmented Data, Not Model Choice

Enterprise AI often fails in production because data is fragmented across systems, not because the model is weak.

Mismatched IDs, inconsistent schemas, stale updates, and access rules keep copilots from seeing a complete business view.

The core risk is not just bad answers but incomplete or unauthorized data access, which can create security incidents.

The recommended approach is to start with one workflow, build the needed data plumbing, and then scale agents.