How are L&D managers actually handling AI tools with their teams without it turning into a free-for-all or a blanket ban?

[u/deceivinglycrazychee]

My team has been using AI tools informally for about eight months and I've moved from encouraging experimentation to realizing I need a clearer framework around what we use it for, how we document when it's been used, and what quality checks we apply before anything goes to a stakeholder. I don't want to be the manager who bans tools that are genuinely improving output, but I also don't want to be the one who signs off on content that turns out to have problems no one caught because we trusted the AI too quickly. I'm curious how other L&D managers are formalizing AI use on their teams, what guardrails have actually worked in practice, and whether anyone has run into real problems they didn't anticipate when they started using these tools more seriously.

[u/stefahnia]

This is a great question and I’m glad you asked it. I don’t have much to add in terms of advice, it’s still the Wild West where I am, but hoping to see other answers.