AI governance is the set of policies, roles and processes your organization uses to decide which AI tools to adopt, how staff may use them, and how you check on them over time. For a small organization it can be modest. It might be a list of approved tools, an acceptable-use policy, one named person who owns the topic, and a review on a regular schedule. Picture a food bank that lets volunteers use one chatbot to draft newsletters, bans pasting client names into it, and has the operations manager look over the arrangement every few months. That is AI governance, even if nobody calls it that.
Why it matters
Without it, staff tend to pick their own tools, and nobody knows where donor or client information has gone. With it, you can answer the basic questions when something goes wrong: who approved this tool, what people were allowed to do with it, and who is responsible for fixing it. Frameworks such as the NIST AI RMF and ISO/IEC 42001 give you structure if you want more. Our guide to AI governance frameworks covers them in plain terms. When you talk to a vendor, ask how their product helps you enforce your own rules, such as limiting who can use it.
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