Governance is not friction. It is how you ensure AI initiatives do not compromise data, brand or internal trust.
The core questions are simple: which sources the system can use, who can access it, what output is acceptable and when a human must step in.
When those decisions are defined from the start, adoption improves and teams understand that AI operates within a reliable framework.
That makes scaling easier without turning every new use case into a brand-new risk debate.