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Practical guidance on using AI in nonprofit work — what it's good for, where it fails, and how to get something useful out of it this week.
Most of what's written about AI for nonprofits is either a vendor pitch or a warning, and neither helps much when you have a grant due Friday. These pages are the middle version — what we've seen work with the organizations we've worked with, and what we've watched fall apart.
You don't need to read these in order. If you're new to this, start with the getting-started piece. If you came here with a specific job in mind, go straight to it.
By function
AI for grant writing
Where AI helps across the arc of a proposal, and the two places you should keep it away from entirely.
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AI for donor communications
Appeals, thank-yous, and stewardship at a volume that would otherwise be impossible for a two-person development shop.
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AI for board reporting
Turning what you already have into something a board can read in ten minutes.
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AI for volunteer coordination
Role descriptions, onboarding, and the follow-up that decides whether a first-time volunteer becomes a regular.
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AI for program evaluation
Logic models, outcome frameworks, and making sense of the data you’re already collecting.
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AI for social media and communications
Keeping visibility steady when comms is the fourth thing on someone’s list.
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Coming soon
Writing an AI use policy for your organization. Talking to your board about AI. What to tell staff who are worried about their jobs. Handling donor data safely.