AI Governance Checklist for Private Companies

Educational guide · Last reviewed August 3, 2026

By Dontay Phillips, Founder & Principal Attorney, ClearScope Counsel

Most companies do not need a 40-page AI policy on day one. They do need a workable system that answers who owns a decision, which uses need review, what gets tested, and what the company can safely say outside the business.

That system matters whether AI is part of the product, helps write marketing copy, screens job applicants, summarizes customer calls, or sits inside a vendor tool someone bought with a credit card.

Start with an inventory

Make one list of the AI tools your team uses or plans to use. The point is not to slow people down. It is to see where the real decisions, data, and customer touchpoints sit.

• What business problem does the tool solve?
• What data goes in, including customer, employee, confidential, or regulated information?
• What comes out, and does anyone rely on it to make a decision?
• Does the tool touch customers, candidates, investors, or other third parties?
• Who can turn it off if it fails or produces a result the company cannot stand behind?

Give each higher-risk use a real owner

Not every company needs an AI committee. Every higher-risk use does need someone with authority to ask questions, approve guardrails, and pause the rollout when the facts change.

Start with extra review when the tool affects people, money, access, safety, a regulated activity, or a public claim about what your product can do.

Treat vendor inputs as business records

If a vendor powers an important AI feature, collect the documents that explain the relationship. Keep the contract, data-use terms, security materials, model or feature descriptions, testing records, and change notices in one place. If the vendor changes a material capability, your review should restart.

Test the claim

A tool can work well in a demo and still fail in the situation that matters. Test representative use cases, document the limits, and make sure marketing, sales, and investor language stays inside the evidence you actually have.

Make monitoring normal

Set simple review events: a new use case, a material vendor change, a complaint, a bad output, a security incident, or a planned public claim. Small companies can do this in a short monthly check-in. The important part is making the check-in routine before a problem forces it.

When to involve counsel

• The system makes or materially influences employment, credit, pricing, eligibility, or other consequential decisions.
• The tool receives sensitive, confidential, or regulated data.
• A customer contract, privacy notice, product claim, or investor communication describes the AI feature.
• The company is operating in a regulated industry or selling into one.

Reference framework. This guide summarizes principles from the NIST AI Risk Management Framework and FTC advertising and marketing guidance on substantiating product claims. Educational only: general information, not legal advice, and no attorney-client relationship is created. Laws and contract terms are fact-specific and change; consult qualified counsel before relying on this guide. Published by ClearScope Counsel, LLC. Last reviewed August 3, 2026.