- What's included in an AI governance framework?
- At minimum: an acceptable use policy, a list of approved tools, a process for approving new tools, a data classification guide (what can go into which tools), and an incident reporting path. Larger teams add a risk register and regular audits.
- Do small teams really need a formal governance framework?
- Yes — but 'formal' doesn't mean 'bureaucratic'. A one-page policy, a shared spreadsheet of approved tools, and a named point of contact is a governance framework. The goal is consistency, not paperwork.
- Who should own AI governance in a small team?
- In most small teams, the founder, CTO, or ops lead owns it. The key is having one named person, not a committee. Assign it explicitly — ungoverned AI tools are how most small teams end up with data incidents.
- How does AI governance relate to GDPR or the EU AI Act?
- Both regulations require you to have governance processes in place — documented policies, records of AI systems in use, and evidence of human oversight. A well-structured governance framework is your compliance evidence.