AI · 6 min
AI Governance For Small Teams
Governance for a small organisation is four decisions written down: what data may be sent to which providers, which decisions require a human, who owns each system, and how output is checked.
AI · 6 min
Governance for a small organisation is four decisions written down: what data may be sent to which providers, which decisions require a human, who owns each system, and how output is checked.

How it works
List which categories (customer records, financial data, employee information, anything under contract) may or may not be sent to an external model, and to which providers. Most informal AI use in small organisations is uncontrolled precisely because nobody has written this down.
Name the classes of decision that always require a person: anything irreversible, anything with contractual or regulatory weight, anything affecting an individual's treatment. Everything else can be delegated with review.
Each AI-assisted system gets a named owner responsible for its behaviour, its prompts, its source content and its errors. Systems without an owner drift as models update and source documents go stale, and nobody notices until output is visibly wrong.
How output is checked, by whom, and how often: sampling is fine, absence is not. Where the system cites sources, checking a sample of citations is the cheapest meaningful quality control available.
Governance documents nobody reads provide no protection, and for an organisation of this size the value is in having made the four decisions rather than in the formality of recording them.
A short one, yes, mostly because staff are already using these tools. The risk is not a formal programme going wrong; it is client data pasted into a consumer chatbot by someone trying to be helpful.
Which data may be sent where, which decisions need a person, who owns each system, and how output is checked. Four answers on one page beats a document nobody finishes reading.
Governance for a small organisation is four decisions written down: what data may be sent to which providers, which decisions require a human, who owns each system, and how output is checked.
You have read what we think. If you want to know what it means for your case specifically, describe it and we will tell you which parts of ai governance for small teams actually apply — and which do not.