Invisible data poses hidden risks for AI agents

The article describes 'invisible data'—exceptions, approvals, context, and undocumented institutional knowledge—that can break AI agents in large institutions. This invisible data is more dangerous than bad data, leading to poor agent performance. Organizations need better data strategies to surface these blind spots.