AI policy for nonprofits

An AI policy your staff will actually follow.

If your board — or a funder — asked for an AI policy, that's normal now. Public guidance treats it as a standing governance need for nonprofits (Nonprofit Risk Management Center, 2026). The question isn't whether to have one. It's whether anyone will follow it. Call it policy or call it governance — the point is the same: rules sized to a team that has real work to do.

Why most policies fail

They're written to be shown, not followed. A forty-page document nobody reads protects nobody. The policy that works is short, plain, and built from how your people actually work.

What goes in it

Three questions, answered in plain language:

Which tools are allowed, and for what.
What data stays out.
Who reviews the output — and what happens when something looks wrong.

Public guidance for nonprofits points to a one-to-three-page policy, not a binder (Nonprofit Risk Management Center; GrantBoost). The length isn't the achievement. The follow-through is.

How we'd write it together

The policy is drafted with you, in plain language, sized to a small or mid-sized organization — its own engagement, starting from paid discovery: the map of how your team actually works is what keeps the policy real instead of generic.

What the policy is for — plain-language governance

A policy exists to protect the work, not to perform governance. The point is a team that can make good decisions without asking permission for every prompt — and a board that can see the decisions were considered.

Start with a short note.

Tell me what your board or funder asked for, and how your team uses AI today. We talk through whether it's a fit. If it is, we'll get the start date scheduled.

Or write directly: hello@olivejuice.digital · Fixed Scope · Defined End Date