AI Governance Framework for a Massachusetts Small Business

TL;DR: An AI governance framework for a Massachusetts small business is a short written document that names who owns AI decisions, lists every AI tool in use, says which data may go into which tool, sets when a person must approve, and fixes a review date. Map it to NIST's AI RMF and it holds up.

An AI governance framework sounds like something a bank writes with a committee. For a 12-person office it should be four pages and an afternoon of honest answers.

Your staff may well be using AI already, some in tools you approved and some in tools nobody mentioned. Kief Studio wrote up what the Massachusetts small business AI numbers look like. A framework turns that into something you can see, decide on and check.

Below: what goes in it, how to find the AI you already have, how it lines up with NIST and ISO, and a 30-day plan.

What is an AI governance framework?

An AI governance framework is the set of rules, owners and checks a business uses to decide how AI gets picked, used and watched. Policy is one part. The framework also says who is accountable, what is running, and when you look again.

The public reference point is NIST's AI Risk Management Framework, released on January 26, 2023 and "intended for voluntary use." (NIST, AI RMF) NIST built it to offer "flexibility to organizations of all sizes and in all sectors," and it organizes the work into four functions: govern, map, measure and manage. Governance, NIST says, "is designed to be a cross-cutting function to inform and be infused throughout the other three functions." (NIST AI 100-1, January 2023)

NIST also says something owners should hear plainly: "small to medium-sized organizations managing AI risks or implementing the AI RMF may face different challenges than large organizations, depending on their capabilities and resources." (NIST AI 100-1) In other words, scale it to you. A small business AI governance framework borrows the structure and skips the bureaucracy.

For generative AI specifically, NIST added a companion, NIST AI 600-1, the Generative AI Profile, published July 26, 2024. (NIST, July 2024)

Do Massachusetts rules already apply to AI?

Yes, and that is the strongest reason a Massachusetts business should have an AI governance framework in writing.

On April 16, 2024, Attorney General Andrea Campbell issued an advisory saying that "developers, suppliers and users of artificial intelligence must comply with existing state consumer protection, anti-discrimination and data privacy laws." (WBUR, April 2024) Note the word users. A business that only uses AI is covered too.

The advisory names practices that could be unfair or deceptive, including "falsely advertising the usability of AI systems" and "misrepresenting the reliability or safety of an AI system." (WBUR) It also expects personal data used by AI systems to be protected under the state's data security rules. If you hold Massachusetts residents' personal information, you already owe a written information security program under 201 CMR 17. Amelia, my co-founder, covers that in her guide to Massachusetts WISP requirements (opens in a new tab). Your AI governance framework should point to that program, not repeat it.

The state is also pushing adoption. Governor Healey signed Executive Order 629 on February 14, 2024, creating an AI Strategic Task Force to study AI "and its impact on the state, private businesses" and to recommend "how the state can support Massachusetts businesses in leading sectors around AI adoption." (Massachusetts Municipal Association, February 2024; GovTech, February 2024) Put the two side by side: the state wants you using AI, and its existing laws still apply when you do. The framework is how you do both.

What goes into a small business AI governance framework?

Seven parts. Each fits on half a page and answers a question a client, an insurer or an auditor will eventually ask.

1. Owners and roles

Name one person who owns the AI governance framework, usually the owner or the operations lead. Then name who approves a new tool, who handles a problem, and who staff ask when unsure.

NIST's govern function asks for exactly this: "Roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks are documented and are clear to individuals and teams throughout the organization." (NIST AI 100-1, GOVERN 2.1)

2. An AI inventory

A list of every AI tool and feature in use: the name, who uses it, what it is for, what data it touches, and who approved it. NIST lists this as its own outcome: "Mechanisms are in place to inventory AI systems." (NIST AI 100-1, GOVERN 1.6)

Include the AI features inside software you already pay for, like a meeting note-taker, and any agent connected to your email or files; our piece on the AI agent nobody remembered turning on covers why that line matters.

3. Approved tools and an AI acceptable use policy

Three lists: approved, approved for limited use, and not approved. Then a short AI acceptable use section in plain words: what staff may do, what they must not do, and who to ask. Amelia's guide on how to build an AI policy for your team (opens in a new tab) walks through the wording, so I will not repeat it here.

4. Data rules

This is the part of an AI governance framework that protects you most. Sort your data into three tiers and say which tools each tier may go into:

• Public: your website copy, published prices, marketing drafts. Any approved tool.
• Internal: procedures, internal emails, project notes. Approved tools with business accounts and training on your data turned off.
• Restricted: client personal information, health or financial records, passwords, anything under 201 CMR 17 or a contract. Only tools you have reviewed and written into the inventory, or none.

5. Human oversight and approvals

Write down which AI output a person must check before it leaves the building: anything sent to a client, published, used to decide about a person, or that moves money. Good AI oversight draws one clear line: what runs on its own, and what waits for a person.

If you run AI agents, this section gets longer. Our knowledge base answer on AI agent governance for a small business and the note on least privilege for AI agents cover owners, access limits and kill switches.

6. Vendor terms

For each approved tool, record three answers: does the vendor train on your data, where is the data stored, and how long is it kept. NIST's framework asks for "policies and procedures" that "address AI risks associated with third-party entities." (NIST AI 100-1, GOVERN 6.1) If a tool cannot answer those questions in writing, it goes on the not-approved list.

7. Review cadence and incidents

Pick a date: quarterly is right for most small firms, plus a review whenever you add a tool that touches restricted data. NIST asks that organizations plan "ongoing monitoring and periodic review" and determine "the frequency of periodic review." (NIST AI 100-1, GOVERN 1.5) Add one paragraph on what staff do if AI output goes wrong or data goes into the wrong tool: who they tell, and how fast.

How do you find the AI tools your staff already use?

Shadow AI is the AI your people use without anyone approving it, and it is the first thing an AI governance framework has to find. It is rarely bad intent. Someone found a tool that saves an hour and nobody told them where the line was.

It matters because the gaps show up in breach data. IBM's 2026 Cost of a Data Breach research found that roughly one in five organizations reported an AI-related breach, and of those, "the vast majority (92%) lacked proper AI access controls." (IBM X-Force, July 2026)

Finding it takes about a week, and none of it needs special software:

1. Ask, with amnesty. Send a two-question form: which AI tools do you use for work, and for what. Say plainly that nobody is in trouble.
2. Check the sign-ins. In your email admin console, look at which outside apps staff connected with work accounts.
3. Check the bills. Search the company card and expense reports for AI subscriptions.
4. Check the features. Go through the software you already pay for and note which AI features are switched on.
5. Write it all into the AI inventory, then sort each tool into approved, limited or not approved.

Then give people an approved option for whatever they were doing. A ban without a replacement just moves the habit out of sight. Amelia makes that case in govern shadow AI by enabling it (opens in a new tab).

How does an AI governance framework map to NIST AI RMF and ISO 42001?

You do not need to adopt either one in full. But if your AI governance framework lines up with them, you can answer a client questionnaire or an insurer with "here is how ours maps."

NIST AI RMF. The seven parts above map to the NIST AI RMF functions like this:

• Govern: owners and roles, the AI acceptable use policy, vendor terms, the review cadence.
• Map: the AI inventory and the data rules. NIST says the map function "establishes the context to frame risks related to an AI system."
• Measure: spot checks of AI output against what good looks like, and the review notes.
• Manage: human approvals, the incident steps, and retiring tools you no longer need.

(NIST AI 100-1) NIST also publishes a companion Playbook. It is "neither a checklist nor set of steps to be followed in its entirety," and its suggestions are voluntary: an organization takes the ones that fit its use case and leaves the rest. (NIST AI RMF Playbook) That is the closest thing to an official NIST AI policy template, and it is built to be trimmed.

ISO 42001. ISO/IEC 42001:2023 is a management system standard. Its scope: it "specifies the requirements and provides guidance for establishing, implementing, maintaining and continually improving an AI (artificial intelligence) management system within the context of an organization," and it "is applicable to any organization, regardless of size, type and nature, that provides or uses products or services that utilize AI systems." (ISO/IEC 42001:2023)

For most small businesses, ISO 42001 certification is more than the situation calls for. Borrow the habit underneath it instead: written scope, named roles, a regular review. If a large client ever asks for ISO 42001, your AI governance framework is the starting point. For the wider list of AI rules and frameworks, MyRHC's AI and machine learning section (opens in a new tab) indexes them with links to the source documents.

What does a one-page AI governance framework look like?

Here is the skeleton. Each heading is one short paragraph or a list.

1. Purpose and scope. One sentence on why the business uses AI and which staff, contractors and tools this covers.
2. Owner. The person who owns the AI governance framework, and who approves new tools.
3. AI inventory. A link to the live list, with the date it was last checked.
4. Approved, limited, not approved. The three lists.
5. Data tiers. Public, internal, restricted, and which tools each may use.
6. Human approval. What a person must check before it goes out.
7. Vendor terms. Training, storage and retention answers for each tool.
8. Incidents. Who to tell and how fast.
9. Review. The next review date, and the trigger for an early one.
10. Mapping. One line per NIST function showing which section covers it.

Picture a hypothetical eight-person accounting practice in Westborough. Its framework might approve one business chat assistant for internal drafts, allow the AI features in its accounting software for categorizing transactions with a person reviewing them, and keep client tax records out of every general chat tool. That fits on one page and covers what matters.

How do you roll out an AI governance framework in 30 days?

• Week 1: find. Run the five discovery steps above and build the AI inventory.
• Week 2: decide. Sort every tool into the three lists, set the data tiers, and check vendor terms for each approved tool.
• Week 3: write. Fill in the one-page AI governance framework skeleton. Keep the language plain enough that a new hire understands it on day one.
• Week 4: share and set the date. Walk staff through it in 20 minutes, answer questions, and put the first quarterly review on the calendar.

The order matters. I would always do the inventory first, because a policy written before you know what is in use describes a business you do not have.

The quarterly review takes under an hour: update the inventory, look at what went wrong, change a line or two. That loop keeps an AI governance framework alive.

This article is general information, not legal advice. Kief Studio is not a law firm, and reading it does not create an attorney-client relationship. Laws and regulations change, so check the current text and talk with a licensed Massachusetts attorney about your situation.