Nonprofits are asked to do a remarkable amount with very little. A small staff, sometimes one person, sometimes one person and a committed board, carries fundraising, programs, volunteers, compliance, and reporting all at once. The mission is the reason everyone showed up. The paperwork is what fills the calendar.
We spend a lot of time alongside the organizations doing this work, both as a bank and as volunteers, and the story is consistent. The constraint is almost never commitment or capability. It’s that the administrative side keeps expanding and there’s rarely anyone left to hand it to.
AI tools are worth a look for exactly that reason. They don’t set strategy or build relationships with donors, but they are genuinely good at drafting, sorting, and summarizing the work that surrounds the mission without being the mission.
One caution before the list, because it comes first in practice too: donor financial information and client records deserve the same care as anything else confidential, and some organizations. particularly those in health, housing, or family services, carry legal confidentiality duties on top of that. Free, public AI chatbots are fine for a newsletter draft and the wrong place for a donor list or a case file. Ask any vendor in writing whether your data trains their models, how long they keep it, and who can see it. Clear answers are a good sign; vague ones are your answer.
TOPICS COVERED: Where AI Delivers the Most Value
- Grant Writing and Post-Award Reporting
- Donor Acknowledgments and Appeals
- Volunteer Scheduling and Communication
- Board Minutes and Annual Reporting
- Donor Database Cleanup
- Where to Begin
Grant Writing and Post-Award Reporting
Best for: Executive directors, development staff, anyone who writes grants between other duties
Much of a grant application is material your organization has already written. Mission language, history, program description, staff qualifications, reworded to fit a new set of prompts and a new character limit.
AI tools can take your existing materials and a funder’s guidelines and produce a working draft of those recurring sections, along with the interim and final reports that follow an award. The needs statement, the local data, and the evaluation plan still come from you. What disappears is the blank page and the retyping.
A word of caution specific to grants: never let an AI-supplied statistic or citation reach a funder unverified. These tools invent sources that look entirely legitimate, and a single fabricated figure a program officer decides to check will cost you more than the draft saved.
A good first test: Take the last proposal you submitted. How much of it was language you’d written before in a slightly different order?
Donor Acknowledgements and Appeals
Donor retention hovers around 40% across the sector, and first-time donors come back at roughly half that rate. Most of the fix isn’t complicated. It’s timely, specific, human-sounding follow-up, done consistently, which is the first thing to slip when a gala is three weeks out.
AI tools can draft acknowledgment letters, segmented appeals, and newsletter copy in minutes, giving your team something to personalize rather than compose. That last step matters more here than anywhere else on this list. Donors can tell when a thank-you could have been addressed to anyone, and a generic acknowledgment does more damage than a late one.
Something to tally: Count the days between your last gift received and its thank-you sent. If it’s more than a week, drafting speed is your bottleneck.
Volunteer Scheduling and Communication
Coordinating volunteers is a logistics job disguised as a people job. Matching availability to need, sending reminders, filling a gap when someone cancels the night before, walking new people through orientation for the tenth time this quarter.
Volunteer management platforms increasingly handle the routine layer of this, matching people to roles based on skills and history, sending shift reminders automatically, moving onboarding material into something self-paced. Your coordinator spends their time on the volunteers who need a conversation instead of the ones who just need a calendar invite.
Worth checking: How many hours a week go to reminders and rescheduling? That number tends to surprise people.
Board Minutes and Annual Reporting
Minutes, annual reports, and impact narratives share a common problem: the information exists, someone has to assemble it, and it always lands on the person with the least room in their week.
AI tools can turn a recording or rough notes into a structured draft of minutes, and turn program numbers into readable narrative for an annual report. Two limits are worth knowing. Meeting summaries are not governance minutes. Votes, motions, and conflict-of-interest disclosures need a human to get exactly right. And board discussions are often sensitive, so where the recording lives is a real question, not a technicality.
One to ask your board secretary: How long after a meeting do minutes actually get circulated?
Donor Database Cleanup
Duplicate records. Three spellings of the same last name. Addresses four moves out of date. Every mailing costs a little more than it should, and every report is a little off.
This is one of the most practical uses on the list and one of the lowest-risk, because it doesn’t require judgment about people. Just pattern recognition at volume. AI-assisted tools flag likely duplicates using more than exact name matches, standardize formatting, and surface missing fields. Someone still approves the merges. Small, regular cleanup beats one heroic weekend, and clean records make everything downstream better.
Try this: Search your own organization’s name in your database. See how many versions of it come back.
Where To Begin
Pick one task that’s predictable, repeatable, and eating hours you don’t have. That’s where you’ll see a return fastest, and where you’ll build the confidence to try the next one.
This article was written by Adam Emberton, our Technical Program Lead – AI, Automation and Data
