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.