Writing and communications. First drafts of newsletters, appeal letters, social media posts, media releases, and website copy. AI won’t write with your voice out of the box, but give it examples of your existing content and clear instructions, and it gets surprisingly close. You’ll still need to edit — but editing a solid draft is much faster than staring at a blank page.
Grant applications. AI is genuinely good at helping structure grant responses, pulling together program descriptions, and ensuring you’ve addressed all the criteria. It won’t know your outcomes data or local context, but it can handle the connective tissue between the specific things you paste in. We’ve seen this cut grant writing time by 30–50%.
Donor communications. Personalising thank-you messages, segmenting email content, drafting impact updates tailored to different donor levels. The organisations doing this well are using AI to create variations, not identical copy — so each communication feels considered, not mass-produced.
Data and reporting. Summarising survey results, analysing donation patterns, turning spreadsheets into plain-language insights. If you’ve ever spent a day turning data into a board report, AI can do the first pass in minutes. You still need to verify the numbers and add interpretation, but the grunt work shrinks dramatically.
Internal operations. Meeting summaries, policy drafts, onboarding documents, FAQ pages, volunteer coordination emails. The less glamorous the task, the more time AI saves.
What AI isn’t good at (yet). Strategy. Relationship building. Understanding your community’s nuances. Reading the room at a board meeting. Knowing that your major donor Margaret prefers a phone call to an email. AI is a tool for execution, not judgment.
