AI Governance Framework: Where to Start When Everything Feels Overwhelming

Why This Matters

Start with three things: create an AI tool inventory (know what you use), write a simple AI policy (set the rules), and provide basic training (teach the rules). These three steps cover your most immediate obligations.

Under the EU AI Act, having documented AI governance demonstrates that your business takes AI compliance seriously. If regulators or clients ask how you manage AI use, pointing to established practices is far better than starting from scratch.

Step 1: Know What You Use

Create your AI tool inventory. List every AI tool your business uses, who uses it, and what for. This takes an afternoon at most. Send a survey to your team, then compile results into a spreadsheet.

Don't forget AI features embedded in other tools. Your email platform, CRM, and accounting software may all have AI capabilities that should be on your list.

Step 2: Set the Rules

Write a simple AI policy. Two to three pages covering approved tools, data handling rules, output verification requirements, and incident reporting. Focus on the most important rules first. You can always expand later.

The key is to get something written down that your team can follow. Perfect policies that never get written help nobody.

Step 3: Teach the Rules

Conduct a basic AI literacy training session covering what AI is and isn't, your company's policy, practical dos and don'ts, and what to do when something seems off. Record the session and keep attendance records as compliance evidence.

Once you've done these three things, you have a functioning AI governance foundation. From there, add risk assessments, vendor evaluations, and monitoring as needed.

This article is for informational purposes only and does not constitute legal advice. Regulatory requirements change frequently — verify current rules with official sources. Built by Sawai Gyoseishoshi Office, Hiroshima, Japan.