Enterprise AI governance tooling is built for organisations with dedicated IT departments, thousands of users, and complex compliance requirements. If you're running a team of fifteen people, that tooling is overkill — expensive, complex, and designed for problems you don't have. But the alternative of no governance at all creates its own problems: inconsistent usage, security risks, and no way to know what Claude is doing across your team.
Right-sized governance
The middle path is right-sized governance. Config management, skills distribution, and rule enforcement at a scale that matches your business. This might mean a simple file-based configuration system distributed across machines, a lightweight custom agent that enforces configuration consistency, or a shared repository of skills and rulesets that gets deployed to each employee's environment.
The key principle is: start simple and scale up only when you need to. A team of ten doesn't need the same infrastructure as a team of five hundred. But a team of ten absolutely needs governance — the question is how much. Get the foundation right at ten people, and scaling to fifty is straightforward. Skip governance at ten, and you'll be fighting fires at twenty.