Before Your Nonprofit Uses AI, Fix These 5 Things First

AI can save nonprofit teams time, but it can also expose weak data practices, confusing permissions and unclear policies. Before staff begin using AI tools with donor, client or grant information, make sure these five foundations are in place.

1. Secure access to your systems

Start with multi-factor authentication, strong password practices, device security and role-based permissions. AI tools become riskier when too many people have access to sensitive files they do not actually need.

2. Clean and classify your data

Messy donor records, duplicate spreadsheets and unlabeled folders make automation less reliable. Identify where donor, client, HR, finance and program data live, then clean and classify the information before connecting AI tools.

3. Create an AI usage policy

Your policy should explain what staff can use AI for, what information must never be entered into public tools, when human review is required and who approves new AI systems.

4. Pick one practical workflow

Start with a low-risk, high-friction workflow such as meeting summaries, intake routing, board packet drafts or grant report outlines. Avoid launching a broad AI initiative before your team sees one useful win.

5. Train people, not just tools

Staff need to know how to verify AI outputs, protect sensitive data and understand that AI should assist—not replace—judgment, empathy or accountability.