AI Governance explained in practical terms
Most AI governance guides are written for Fortune 500 companies with compliance teams, legal counsel, and dedicated budgets. If you're a 15-person nonprofit, a 40-person construction firm, or a municipal department with three IT staff, that advice feels completely out of reach.
Here's the thing — you don't need any of that to have basic AI governance in place. You need a short document, five conversations, and about two weeks of attention. That's it.
Step 1 — Make a List of What's Actually Being Used
Before you write any policy, you need to know what AI your team is already using. In our audits we consistently find that organizations underestimate their AI usage by a factor of three. ChatGPT, Grammarly, Microsoft Copilot, Canva AI, Google Gemini, Zoom meeting summaries, Otter.ai transcription, Claude, ChatGPT plugins — these are all AI, and they're probably already in your workflows.
Send a simple 3-question survey to every staff member. Ask what AI tools they use, how often, and for what tasks. Don't make it punitive — make it informational.
Step 2 — Classify Your Data
Not all data is equal. Client names and emails are different from financial records, which are different from HR files. Before you can decide what can and can't go into AI tools, you need a simple tier system.
Three tiers is enough: public (marketing materials, published content), internal (draft documents, general communications), and confidential (client data, financials, personnel records). Most small organizations can skip building a complex data classification framework — just agree on these three buckets.
Step 3 — Write the One-Page Policy
Your AI policy shouldn't be longer than a single page at this stage. It should answer four questions:
- Which AI tools are approved for use?
- What data can and cannot be used with those tools?
- Who is responsible for reviewing AI-generated content before it's sent to clients or published?
- Who do I ask if I'm unsure?
That's it. Don't try to anticipate every edge case. You'll refine as you encounter them.
Step 4 — Train the Team in 30 Minutes
Policies that aren't shared don't exist. Schedule a single 30-minute meeting to walk through your policy, answer questions, and give examples. Record it so new hires can watch later. Send a written summary by email.
Most importantly, create a clear channel for questions going forward. "Ask me before using AI for X" should feel easier than "try it and hope for the best."
Step 5 — Review Every Six Months
AI tools change constantly. The policy you write today will need updates in six months — new tools will emerge, existing ones will add features, and you'll have encountered situations you didn't anticipate.
Put a recurring calendar event: every six months, spend one hour reviewing and updating the policy. Invite input from a few staff members across departments.
That's It
This entire process takes about two weeks of part-time attention and gives you 80% of the governance value that the enterprise-grade frameworks provide. The remaining 20% you don't need until you're significantly larger or in a highly regulated industry.
If you want help working through any of these steps, a free discovery call is the fastest way. We can scope your situation in about 30 minutes and tell you honestly what you need.