25/08/2026
Good AI governance isn't a 40-page policy document but it's usually three things, done consistently.
We've tackled this in our last posts, and after talking to a lot of companies recently, we can confidently say what usually goes wrong when companies adopt AI without a plan. Fair, but it's worth flipping the lens: what does it actually look like when a company gets this right?
One approved path, not zero paths. Teams don't stop looking for AI tools because you ban them, they go find one anyway. Pick a secure, sanctioned option and make it the easy default.
One rule everyone can actually remember. Not a legal doc nobody reads. One clear line: what can go into an AI tool, and what can't.
Regular check-ins, not a one-time sign-off. AI tools and their data terms change fast. Review them the same way you'd review any other software.
That's it. No dedicated compliance department required for most mid-size companies.
The difference between companies that get burned and companies that don't usually isn't caution. It's whether these three things exist at all, versus being figured out for the first time after something already went wrong.
Where does your company sit on this? Have all three, some, or none yet?
If this sounds like a gap in your setup, we put together a short workshop on exactly this: 👉 https://lean-coders.at/ki-workshop-kits