- What is AI governance?
- AI governance is the combination of policies, processes, and technical controls that determine which AI tools a business allows, what data can be used with them, and who is accountable. Good governance enables safe AI use rather than simply blocking it.
- What should an AI acceptable use policy include?
- Approved tools and how to request new ones, data that must never be entered into AI, when AI output requires human review, who owns the policy, and consequences for violations. It should be short and written in plain language so employees actually read it.
- Do small and mid-sized businesses really need AI governance?
- Yes. Smaller businesses face the same data exposure from free AI tools as large enterprises, often with fewer controls in place. A right-sized policy, approved tools, and a few technical controls go a long way.
- How do you detect shadow AI?
- With the security tools you may already license, such as Microsoft Defender for Cloud Apps, plus a short employee survey and conversations with team leads. The goal is an honest inventory, not catching people out.
- Does AI governance mean banning ChatGPT?
- No. Bans tend to push AI use onto personal devices where you have no visibility. We help you choose approved tools with acceptable data terms and steer employees toward them.
- Which frameworks do you align to?
- We align AI governance to the NIST AI Risk Management Framework and connect it to the security frameworks you already follow, such as the NIST Cybersecurity Framework or CMMC where applicable.
- How long does it take to put AI governance in place?
- A policy and approved tool list typically come first, within the opening weeks of an engagement. Technical controls depend on your licensing and environment, and we give you a realistic timeline after discovery.
- Do you provide an AI acceptable use policy template?
- Yes. You can download our AI acceptable use policy template free on this page. In a governance engagement, we tailor it to your industry, your data, and your customers' requirements.