Is AI governance only for big companies?

No. Small teams need the small version: a list of tools, a one-page policy and a named owner. It takes an afternoon to set up and protects the information people trust you with.

What's the difference between AI governance and an AI policy?

The policy is one piece. Governance also includes knowing which tools are in use, rating them, training people, and keeping it all current with a named owner.

Do we need to follow the NIST framework or ISO 42001?

Usually not formally. They're useful references, and some customers or funders ask about them. Starting with a register, policy, training and an owner covers the basics they describe.

Is AI governance a legal requirement?

It depends on where you operate and what you do. Some laws, like the EU AI Act's AI literacy duty, already apply to certain organizations, and US states are adding their own. Check with a qualified advisor; good governance makes any requirement easier to meet.

What is AI governance? A plain-English guide for businesses and nonprofits

By Rafael · Updated November 1, 2026 · 3 min read

The short answer

AI governance is the simple set of rules for how your organization uses AI: which tools are allowed, what information can go into them, who checks the results, and who is responsible. For most organizations it starts with three things: a list of the AI tools in use, a short AI policy, and one named person who owns it.

Why it matters now

Your people are almost certainly using AI already. In 2026 surveys, roughly half or more of workers said they use AI tools their employer hasn't approved, usually free personal accounts. That's understandable, since AI helps them, but it means customer, donor or staff information can leave your control without anyone deciding it should.

Governance isn't about slowing that down. It's about making AI safe enough that people can use it openly and confidently.

Governance is permission with guardrails, not a ban. Bans push AI use onto personal phones, where you have the least protection.

The five pieces you actually need

An AI registerA simple list of every AI tool in use, what it's for and what information goes in. See how to create an AI register.
Clear ratingsEach tool approved, approved with limits, or not allowed, with the reason written down so anyone can understand it.
A short AI policyApproved tools, what must never go in, when a person must review AI work, and who to ask. Start from our AI policy template.
A trained teamAn hour of practice on real work, so people know the rules and use AI well. See how to train your team on AI.
An owner and a review dateOne named person keeps the register and policy current, and leaders see a short update at least twice a year. See how to brief your board on AI.

The frameworks behind it, in plain words

You don't need to adopt a formal framework to govern AI well, but it helps to know the main ones, because larger customers, funders and partners may mention them:

NIST AI Risk Management Framework (US, voluntary, released January 2023): organizes the work into four functions, Govern, Map, Measure and Manage. "Govern" is the culture, roles and policies that make the rest work.
ISO/IEC 42001 (international, published December 2023): a certifiable standard for an AI management system, mostly used by larger organizations and AI providers.
EU AI Act: since February 2, 2025, organizations that provide or use AI systems in the EU must take steps to ensure their staff have sufficient AI literacy, so training is part of governance there.
US state laws: several states are passing their own AI rules, and dates keep changing. Colorado's first AI law, for example, was replaced before it took effect. Check what applies to you with a qualified advisor.

The good news: the five pieces above line up with the "Govern" part of these frameworks, and they're where every organization should start.

How to start this week

Ask what people useA quick, no-blame survey: which AI tools, for what, and with what information. See what shadow AI is and how to manage it.
Build your kitEnter what you learn into the free AI governance kit. It rates each tool and drafts your register, policy and leadership summary.
Fix the riskiest use firstUsually that's personal or sensitive information in free personal accounts. Move it to a business plan or remove the personal details. Where AI affects people, check it for bias, and use the AI governance checklist to see what else needs attention.
Adopt the policy and trainAdjust the policy with your leaders, then spend an hour walking your team through it with real examples.

Common questions

Is AI governance only for big companies?: No. Small teams need the small version: a list of tools, a one-page policy and a named owner. It takes an afternoon to set up and protects the information people trust you with.
What's the difference between AI governance and an AI policy?: The policy is one piece. Governance also includes knowing which tools are in use, rating them, training people, and keeping it all current with a named owner.
Do we need to follow the NIST framework or ISO 42001?: Usually not formally. They're useful references, and some customers or funders ask about them. Starting with a register, policy, training and an owner covers the basics they describe.
Is AI governance a legal requirement?: It depends on where you operate and what you do. Some laws, like the EU AI Act's AI literacy duty, already apply to certain organizations, and US states are adding their own. Check with a qualified advisor; good governance makes any requirement easier to meet.